4,066 results on '"Zurada, Jacek M."'
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2. Building SeisTutor Intelligent Tutoring System for Experimental Learning Domain
3. Pedagogy Modeling for Building SeisTutor Intelligent Tutoring System
4. Introduction
5. Cognitive Tutor
6. Execution of Developed Intelligent Tutoring System
7. Performance Metrics: Intelligent Tutoring System
8. Analysis of Performance Metrics
9. Pedagogy Modeling
10. Patient-Specific Modeling and Model Predictive Control Approach to Personalized Optimal Anemia Management
11. Optimal Scheduling of Anticipated COVID-19 Vaccination: A Case Study of New York State
12. Convergence Analysis of Online Gradient Method for High-Order Neural Networks and Their Sparse Optimization
13. A pruning algorithm with relaxed conditions for high-order neural networks based on smoothing group L1/2 regularization and adaptive momentum
14. Diversity Regularized Adversarial Deep Learning
15. On Correlation of Features Extracted by Deep Neural Networks
16. Diversity Regularized Adversarial Learning
17. Analysis of Equilibria for a Class of Recurrent Neural Networks With Two Subnetworks
18. Building Efficient ConvNets using Redundant Feature Pruning
19. Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data
20. A New Algorithm with a Line Search for Feedforward Neural Networks Training
21. Comparison of Feedforward Perceptron Network with LSTM for Solar Cell Radiation Prediction
22. Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions
23. Control-Relevant Adaptive Personalized Modeling From Limited Clinical Data for Precise Warfarin Management
24. A Conjugate Gradient-Based Efficient Algorithm for Training Single-Hidden-Layer Neural Networks
25. Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning
26. Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints
27. Precise Warfarin Management through Personalized Modeling and Control with Limited Clinical Data
28. Adaptive Individualized Drug-Dose Response Modeling from a Limited Clinical Data: Case of Warfarin Management
29. Radial Basis Function Interpolation and Galerkin Projection for Direct Trajectory Optimization and Costate Estimation
30. Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network
31. Nonnegative Matrix Factorization for Document Clustering: A Survey
32. Boundedness of Weight Elimination for BP Neural Networks
33. Adaptive Individualized Modeling From Limited Clinical Data for Precise Anemia Management
34. Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm
35. Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks
36. Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network
37. On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise
38. Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment
39. Correntropy-Based Document Clustering via Nonnegative Matrix Factorization
40. Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks
41. Application of the Givens Rotations in the Neural Network Learning Algorithm
42. Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning
43. Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks
44. Intelligent E-Learning Systems for Evaluation of User’s Knowledge and Skills with Efficient Information Processing
45. Estimating Soil Parameters Using the Kernel Function
46. Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits
47. Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons
48. A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis
49. Feature Selection for Neural Networks Using Group Lasso Regularization
50. Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)
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