Research

Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NeurIPS 2006 Hierarchical Dirichlet Processes with Random Effects NeurIPS 2006 Inferring Network Structure from Co-Occurrences NeurIPS 2006 Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NeurIPS 2006 Large Scale Hidden Semi-Markov SVMs NeurIPS 2006 Logistic Regression for Single Trial EEG Classification NeurIPS 2006 MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006 Modelling transcriptional regulation using Gaussian Processes NeurIPS 2006 Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NeurIPS 2006 Nonlinear physically-based models for decoding motor-cortical population activity NeurIPS 2006 Predicting spike times from subthreshold dynamics of a neuron NeurIPS 2006 Real-time adaptive information-theoretic optimization of neurophysiology experiments NeurIPS 2006 Rearrangement Clustering: Pitfalls, Remedies, and Applications JMLR 2006 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NeurIPS 2006 Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NeurIPS 2006 Uncertainty, phase and oscillatory hippocampal recall NeurIPS 2006 New Techniques for Disambiguation in Natural Language and Their Application to Biological Text JMLR 2004 The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003