Co-occurring keywords · papers mentioning both
Papers
Semi-Supervised Learning via Generalized Maximum Entropy
AISTATS 2010
Shadow Dirichlet for Restricted Probability Modeling
NeurIPS 2010
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
NeurIPS 2009
Maximum Entropy Discrimination Markov Networks
JMLR 2009
A general framework for investigating how far the decoding process in the brain can be simplified
NeurIPS 2008
Partially Observed Maximum Entropy Discrimination Markov Networks
NeurIPS 2008
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
JMLR 2007
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling
JMLR 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
NeurIPS 2007
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm
NeurIPS 2006
Sufficient Dimensionality Reduction
JMLR 2003
Shallow Parsing using Noisy and Non-Stationary Training Material
JMLR 2002
Named Entity Extraction Based on A Maximum Entropy Model and Transformation Rules
ACL 2000