Machine Learning: Discriminative and Generative (Kluwer International Series in Engineering and Computer Science)

Integration of form and motion within a generative model of visual cortex

Neural Networks - 2004 Special issue Vision and brain

On Discriminative Bayesian Network Classifiers and Logistic Regression

Machine Learning

Nonstationary kernel combination

ICML '06 Proceedings of the 23rd international conference on Machine learning

On the computational rationale for generative models

Computer Vision and Image Understanding

Discriminative learning can succeed where generative learning fails

Information Processing Letters

Editorial: New trends in Cognitive Science: Integrative approaches to learning and development

Neurocomputing

Expectation-maximization method for EEG-based continuous cursor control

EURASIP Journal on Applied Signal Processing

A unified framework to exploit information in BCI data for continuous prediction

Neurocomputing

Automatic medical image annotation and retrieval

Neurocomputing

A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier

International Journal of Computer Vision

Bayesian classifiers based on kernel density estimation: Flexible classifiers

International Journal of Approximate Reasoning

Generative prior knowledge for discriminative classification

Journal of Artificial Intelligence Research

Supervised self-taught learning: actively transferring knowledge from unlabeled data

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Discriminative temporal smoothing for activity recognition from wearable sensors

UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems

A multi-resolution hidden Markov model using class-specific features

IEEE Transactions on Signal Processing

Multitask Sparsity via Maximum Entropy Discrimination

The Journal of Machine Learning Research

Discriminative learning can succeed where generative learning fails

COLT'06 Proceedings of the 19th annual conference on Learning Theory

Learning Bayesian network classifiers by risk minimization

International Journal of Approximate Reasoning

Discriminative learning of bayesian network classifiers via the TM algorithm

ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty

A principled approach to network-based classification and data representation

Neurocomputing

Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training

Journal of Signal Processing Systems

Structural Bayesian Linear Regression for Hidden Markov Models

Journal of Signal Processing Systems