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4,178 results on '"Zurada, Jacek M."'

1. Optimal Scheduling of Anticipated COVID-19 Vaccination: A Case Study of New York State

Author

Meerza, Syed Irfan Ali, Karimi, Seyed M., Little, Bert B., Zurada, Jacek M., and Inanc, Tamer

Subjects
Quantitative Biology - Populations and Evolution, Physics - Physics and Society
Abstract

This study aims to determine an optimal control strategy for vaccine scheduling in COVID-19 pandemic treatment by converting widely acknowledged infectious disease model named SEIR into an optimal control problem. The problem is augmented by adding medication and vaccine limitations to match real-world situations. Two version of the problem is formulated to minimize the number of infected individuals at the same provide the optimal vaccine possible to reduce the susceptible population to a considerably lower state. Optimal control problems are solved using RBF-Galerkin method. These problems are tested with a benchmarking dataset to determine required parameters. After this step, problems are tested with recent data for New York State, USA. The results regarding the proposed optimal control problem provides a set of evidences from which an optimal strategy for vaccine scheduling can be chosen, when the vaccine for COVID-19 will be available., Comment: Submitted to International conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)-2020

Published
2020

2. Execution of Developed Intelligent Tutoring System

Author

Singh, Ninni, Gunjan, Vinit Kumar, Zurada, Jacek M., Kumar, Amit, Series Editor, Suganthan, Ponnuthurai Nagaratnam, Series Editor, Haase, Jan, Series Editor, Senatore, Sabrina, Editorial Board Member, Gao, Xiao-Zhi, Editorial Board Member, Mozar, Stefan, Editorial Board Member, Srivastava, Pradeep Kumar, Editorial Board Member, Singh, Ninni, Gunjan, Vinit Kumar, and Zurada, Jacek M.

Published
2022
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3. Building SeisTutor Intelligent Tutoring System for Experimental Learning Domain

Author

Singh, Ninni, Gunjan, Vinit Kumar, Zurada, Jacek M., Kumar, Amit, Series Editor, Suganthan, Ponnuthurai Nagaratnam, Series Editor, Haase, Jan, Series Editor, Senatore, Sabrina, Editorial Board Member, Gao, Xiao-Zhi, Editorial Board Member, Mozar, Stefan, Editorial Board Member, Srivastava, Pradeep Kumar, Editorial Board Member, Singh, Ninni, Gunjan, Vinit Kumar, and Zurada, Jacek M.

Published
2022
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4. Domain Modeling

Author

Singh, Ninni, Gunjan, Vinit Kumar, Zurada, Jacek M., Kumar, Amit, Series Editor, Suganthan, Ponnuthurai Nagaratnam, Series Editor, Haase, Jan, Series Editor, Senatore, Sabrina, Editorial Board Member, Gao, Xiao-Zhi, Editorial Board Member, Mozar, Stefan, Editorial Board Member, Srivastava, Pradeep Kumar, Editorial Board Member, Singh, Ninni, Gunjan, Vinit Kumar, and Zurada, Jacek M.

Published
2022
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5. Analysis of Performance Metrics

Author

Singh, Ninni, Gunjan, Vinit Kumar, Zurada, Jacek M., Kumar, Amit, Series Editor, Suganthan, Ponnuthurai Nagaratnam, Series Editor, Haase, Jan, Series Editor, Senatore, Sabrina, Editorial Board Member, Gao, Xiao-Zhi, Editorial Board Member, Mozar, Stefan, Editorial Board Member, Srivastava, Pradeep Kumar, Editorial Board Member, Singh, Ninni, Gunjan, Vinit Kumar, and Zurada, Jacek M.

Published
2022
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6. Pedagogy Modeling for Building SeisTutor Intelligent Tutoring System

Author

Singh, Ninni, Gunjan, Vinit Kumar, Zurada, Jacek M., Kumar, Amit, Series Editor, Suganthan, Ponnuthurai Nagaratnam, Series Editor, Haase, Jan, Series Editor, Senatore, Sabrina, Editorial Board Member, Gao, Xiao-Zhi, Editorial Board Member, Mozar, Stefan, Editorial Board Member, Srivastava, Pradeep Kumar, Editorial Board Member, Singh, Ninni, Gunjan, Vinit Kumar, and Zurada, Jacek M.

Published
2022
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7. Performance Metrics: Intelligent Tutoring System

Author

Singh, Ninni, Gunjan, Vinit Kumar, Zurada, Jacek M., Kumar, Amit, Series Editor, Suganthan, Ponnuthurai Nagaratnam, Series Editor, Haase, Jan, Series Editor, Senatore, Sabrina, Editorial Board Member, Gao, Xiao-Zhi, Editorial Board Member, Mozar, Stefan, Editorial Board Member, Srivastava, Pradeep Kumar, Editorial Board Member, Singh, Ninni, Gunjan, Vinit Kumar, and Zurada, Jacek M.

Published
2022
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8. Pedagogy Modeling

Author

Singh, Ninni, Gunjan, Vinit Kumar, Zurada, Jacek M., Kumar, Amit, Series Editor, Suganthan, Ponnuthurai Nagaratnam, Series Editor, Haase, Jan, Series Editor, Senatore, Sabrina, Editorial Board Member, Gao, Xiao-Zhi, Editorial Board Member, Mozar, Stefan, Editorial Board Member, Srivastava, Pradeep Kumar, Editorial Board Member, Singh, Ninni, Gunjan, Vinit Kumar, and Zurada, Jacek M.

Published
2022
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9. Introduction

Author

Singh, Ninni, Gunjan, Vinit Kumar, Zurada, Jacek M., Kumar, Amit, Series Editor, Suganthan, Ponnuthurai Nagaratnam, Series Editor, Haase, Jan, Series Editor, Senatore, Sabrina, Editorial Board Member, Gao, Xiao-Zhi, Editorial Board Member, Mozar, Stefan, Editorial Board Member, Srivastava, Pradeep Kumar, Editorial Board Member, Singh, Ninni, Gunjan, Vinit Kumar, and Zurada, Jacek M.

Published
2022
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10. On Correlation of Features Extracted by Deep Neural Networks

Author

Ayinde, Babajide O., Inanc, Tamer, and Zurada, Jacek M.

Subjects
Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning
Abstract

Redundancy in deep neural network (DNN) models has always been one of their most intriguing and important properties. DNNs have been shown to overparameterize, or extract a lot of redundant features. In this work, we explore the impact of size (both width and depth), activation function, and weight initialization on the susceptibility of deep neural network models to extract redundant features. To estimate the number of redundant features in each layer, all the features of a given layer are hierarchically clustered according to their relative cosine distances in feature space and a set threshold. It is shown that both network size and activation function are the two most important components that foster the tendency of DNNs to extract redundant features. The concept is illustrated using deep multilayer perceptron and convolutional neural networks on MNIST digits recognition and CIFAR-10 dataset, respectively.

Published
2019

11. Diversity Regularized Adversarial Learning

Author

Ayinde, Babajide O., Nishihama, Keishin, and Zurada, Jacek M.

Subjects
Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning
Abstract

The two key players in Generative Adversarial Networks (GANs), the discriminator and generator, are usually parameterized as deep neural networks (DNNs). On many generative tasks, GANs achieve state-of-the-art performance but are often unstable to train and sometimes miss modes. A typical failure mode is the collapse of the generator to a single parameter configuration where its outputs are identical. When this collapse occurs, the gradient of the discriminator may point in similar directions for many similar points. We hypothesize that some of these shortcomings are in part due to primitive and redundant features extracted by discriminator and this can easily make the training stuck. We present a novel approach for regularizing adversarial models by enforcing diverse feature learning. In order to do this, both generator and discriminator are regularized by penalizing both negatively and positively correlated features according to their differentiation and based on their relative cosine distances. In addition to the gradient information from the adversarial loss made available by the discriminator, diversity regularization also ensures that a more stable gradient is provided to update both the generator and discriminator. Results indicate our regularizer enforces diverse features, stabilizes training, and improves image synthesis.

Published
2019

12. Building Efficient ConvNets using Redundant Feature Pruning

Author

Ayinde, Babajide O. and Zurada, Jacek M.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

This paper presents an efficient technique to prune deep and/or wide convolutional neural network models by eliminating redundant features (or filters). Previous studies have shown that over-sized deep neural network models tend to produce a lot of redundant features that are either shifted version of one another or are very similar and show little or no variations; thus resulting in filtering redundancy. We propose to prune these redundant features along with their connecting feature maps according to their differentiation and based on their relative cosine distances in the feature space, thus yielding smaller network size with reduced inference costs and competitive performance. We empirically show on select models and CIFAR-10 dataset that inference costs can be reduced by 40% for VGG-16, 27% for ResNet-56, and 39% for ResNet-110.

Published
2018

13. Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data

Author

Ayinde, Babajide O. and Zurada, Jacek M.

Subjects
Computer Science - Machine Learning
Abstract

Unsupervised feature extractors are known to perform an efficient and discriminative representation of data. Insight into the mappings they perform and human ability to understand them, however, remain very limited. This is especially prominent when multilayer deep learning architectures are used. This paper demonstrates how to remove these bottlenecks within the architecture of Nonnegativity Constrained Autoencoder (NCSAE). It is shown that by using both L1 and L2 regularization that induce nonnegativity of weights, most of the weights in the network become constrained to be nonnegative thereby resulting into a more understandable structure with minute deterioration in classification accuracy. Also, this proposed approach extracts features that are more sparse and produces additional output layer sparsification. The method is analyzed for accuracy and feature interpretation on the MNIST data, the NORB normalized uniform object data, and the Reuters text categorization dataset., Comment: IEEE Trans. on Neural Networks and Learning Systems, September 2018, Vol. 29, Issue 9, Pg. 3969 - 3979

Published
2018
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15. A New Algorithm with a Line Search for Feedforward Neural Networks Training

Author

Bilski, Jarosław, Kowalczyk, Bartosz, Żurada, Jacek M., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rutkowski, Leszek, editor, Scherer, Rafał, editor, Korytkowski, Marcin, editor, Pedrycz, Witold, editor, Tadeusiewicz, Ryszard, editor, and Zurada, Jacek M., editor

Published
2020
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17. Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints

Author

Hosseini-Asl, Ehsan, Zurada, Jacek M., and Nasraoui, Olfa

Subjects
Computer Science - Learning, Statistics - Machine Learning
Abstract

We demonstrate a new deep learning autoencoder network, trained by a nonnegativity constraint algorithm (NCAE), that learns features which show part-based representation of data. The learning algorithm is based on constraining negative weights. The performance of the algorithm is assessed based on decomposing data into parts and its prediction performance is tested on three standard image data sets and one text dataset. The results indicate that the nonnegativity constraint forces the autoencoder to learn features that amount to a part-based representation of data, while improving sparsity and reconstruction quality in comparison with the traditional sparse autoencoder and Nonnegative Matrix Factorization. It is also shown that this newly acquired representation improves the prediction performance of a deep neural network., Comment: Accepted for publication in IEEE Transactions of Neural Networks and Learning Systems

Published
2016
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18. Cognitive Tutor

Author

Singh, Ninni, primary, Gunjan, Vinit Kumar, additional, and Zurada, Jacek M., additional

Published
2022
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20. Diversity Regularized Adversarial Deep Learning

Author

Ayinde, Babajide O., Nishihama, Keishin, Zurada, Jacek M., Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Pras, Aiko, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Furbach, Ulrich, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, MacIntyre, John, editor, Maglogiannis, Ilias, editor, Iliadis, Lazaros, editor, and Pimenidis, Elias, editor

Published
2019
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22. Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm

Author

Bilski, Jarosław, Kowalczyk, Bartosz, Żurada, Jacek M., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Rutkowski, Leszek, editor, Korytkowski, Marcin, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor

Published
2017
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24. Application of the Givens Rotations in the Neural Network Learning Algorithm

Author

Bilski, Jarosław, Kowalczyk, Bartosz, Żurada, Jacek M., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Rutkowski, Leszek, editor, Korytkowski, Marcin, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor

Published
2016
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25. Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning

Author

Ayinde, Babajide O., Hosseini-Asl, Ehsan, Zurada, Jacek M., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Rutkowski, Leszek, editor, Korytkowski, Marcin, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor

Published
2016
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29. Nonnegative Matrix Factorization for Document Clustering: A Survey

Author

Hosseini-Asl, Ehsan, Zurada, Jacek M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Tanaka, Yuzuru, editor, Wahlster, Wolfgang, editor, Siekmann, Jörg, editor, Rutkowski, Leszek, editor, Korytkowski, Marcin, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor

Published
2014
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30. Boundedness of Weight Elimination for BP Neural Networks

Author

Wang, Jian, Zurada, Jacek M., Wang, Yanjiang, Wang, Jing, Xie, Guofang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Tanaka, Yuzuru, editor, Wahlster, Wolfgang, editor, Siekmann, Jörg, editor, Rutkowski, Leszek, editor, Korytkowski, Marcin, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor

Published
2014
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31. A Conjugate Gradient-Based Efficient Algorithm for Training Single-Hidden-Layer Neural Networks

Author

Gong, Xiaoling, Wang, Jian, Wang, Yanjiang, Zurada, Jacek M., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Hirose, Akira, editor, Ozawa, Seiichi, editor, Doya, Kenji, editor, Ikeda, Kazushi, editor, Lee, Minho, editor, and Liu, Derong, editor

Published
2016
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36. Intelligent E-Learning Systems for Evaluation of User’s Knowledge and Skills with Efficient Information Processing

Author

Kacalak, Wojciech, Majewski, Maciej, Zurada, Jacek M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Rutkowski, Leszek, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor

Published
2010
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37. Chaotic Cellular Neural Networks with Negative Self-feedback

Author

Liu, Wen, Shi, Haixiang, Wang, Lipo, Zurada, Jacek M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Rutkowski, Leszek, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Żurada, Jacek M., editor

Published
2006
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38. Convergence Analysis of Continuous-Time Neural Networks

Author

Kang, Min-Jae, Kim, Ho-Chan, Khan, Farrukh A., Song, Wang-Cheol, Zurada, Jacek M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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42. Correntropy-Based Document Clustering via Nonnegative Matrix Factorization

Author

Ensari, Tolga, Chorowski, Jan, Zurada, Jacek M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Villa, Alessandro E. P., editor, Duch, Włodzisław, editor, Érdi, Péter, editor, Masulli, Francesco, editor, and Palm, Günther, editor

Published
2012
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43. Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment

Author

Pietruczuk, Lena, Zurada, Jacek M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wyrzykowski, Roman, editor, Dongarra, Jack, editor, Karczewski, Konrad, editor, and Waśniewski, Jerzy, editor

Published
2012
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44. Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network

Author

Zurada, Jacek M., Jaworski, Maciej, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wyrzykowski, Roman, editor, Dongarra, Jack, editor, Karczewski, Konrad, editor, and Waśniewski, Jerzy, editor

Published
2012
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45. On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise

Author

Duda, Piotr, Zurada, Jacek M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wyrzykowski, Roman, editor, Dongarra, Jack, editor, Karczewski, Konrad, editor, and Waśniewski, Jerzy, editor

Published
2012
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46. Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks

Author

Wang, Jian, Wu, Wei, Zurada, Jacek M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yen, Gary G., editor, and Polycarpou, Marios M., editor

Published
2012
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47. Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks

Author

Chorowski, Jan, Zurada, Jacek M., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Honkela, Timo, editor, Duch, Włodzisław, editor, Girolami, Mark, editor, and Kaski, Samuel, editor

Published
2011
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48. Estimating Soil Parameters Using the Kernel Function

Author

Kang, Min-Jae, Boo, Chang-Jin, Kim, Ho-Chan, Zurada, Jacek M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Taniar, David, editor, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Pardede, Eric, editor, and Apduhan, Bernady O., editor

Published
2010
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