182 results on '"Girolami, Mark"'
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2. Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
3. Classification of Protein Interaction Sentences via Gaussian Processes
4. Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
5. Definition of Valid Proteomic Biomarkers: A Bayesian Solution
6. Inferring Meta-covariates in Classification
7. On the Use of Diagonal and Class-Dependent Weighted Distances for the Probabilistic k-Nearest Neighbor
8. Disease Classification from Capillary Electrophoresis: Mass Spectrometry
9. An Assessment of Feature Relevance in Predicting Protein Function from Sequence
10. A General Framework for a Principled Hierarchical Visualization of Multivariate Data
11. On the Use of Diagonal and Class-Dependent Weighted Distances for the Probabilistic k-Nearest Neighbor
12. Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
13. Definition of Valid Proteomic Biomarkers: A Bayesian Solution
14. Classification of Protein Interaction Sentences via Gaussian Processes
15. Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana
16. Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
17. Inferring Meta-covariates in Classification
18. Disease Classification from Capillary Electrophoresis: Mass Spectrometry
19. A General Framework for a Principled Hierarchical Visualization of Multivariate Data
20. A Perceptual Memory System for Affordance Learning in Humanoid Robots
21. On the Capacity of Transient Internal States in Liquid-State Machines
22. Singular Perturbation Approach with Matsuoka Oscillator and Synchronization Phenomena
23. Hybrid Parallel Classifiers for Semantic Subspace Learning
24. Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation
25. Observational Learning Based on Models of Overlapping Pathways
26. A Hypothetical Free Synaptic Energy Function and Related States of Synchrony
27. ANGE – Automatic Neural Generator
28. A Distributed Behavioral Model Using Neural Fields
29. Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning
30. View-Tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases
31. Speech Recognition Based on the Processing Solutions of Auditory Cortex
32. A Geometric Bio-inspired Model for Recognition of Low-Level Structures
33. Optimal Control Using Functional Type SIRMs Fuzzy Reasoning Method
34. Recursive Multi-Way PLS for Adaptive Calibration of Brain Computer Interface System
35. Multistart Strategy Using Delta Test for Variable Selection
36. Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function Networks
37. A Sentence Generation Network That Learns Surface and Abstract Syntactic Structures
38. Probabilistic Proactive Timeline Browser
39. Transformation of Edge Weights in a Graph Bipartitioning Problem
40. An Information Geometrical View of Stationary Subspace Analysis
41. Person Tracking Based on a Hybrid Neural Probabilistic Model
42. Gaze- and Speech-Enhanced Content-Based Image Retrieval in Image Tagging
43. On the Designing of Spikes Band-Pass Filters for FPGA
44. Modelling Hypothetical Wage Equation by Neural Networks
45. A Framework for Application-Oriented Design of Large-Scale Neural Networks
46. A Dynamic Field Model of Ordinal and Timing Properties of Sequential Events
47. Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model
48. Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks
49. A RANSAC-Based ISOMAP for Filiform Manifolds in Nonlinear Dynamical Systems –An Application to Chaos in a Dripping Faucet–
50. Manifold Learning for Visualization of Vibrational States of a Rotating Machine
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