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» A Learning Classifier Approach to Tomography
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86
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EMNLP
2008
15 years 1 months ago
Refining Generative Language Models using Discriminative Learning
We propose a new approach to language modeling which utilizes discriminative learning methods. Our approach is an iterative one: starting with an initial language model, in each i...
Ben Sandbank
BMCBI
2011
14 years 4 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
104
Voted
ICML
2005
IEEE
16 years 1 months ago
Learning strategies for story comprehension: a reinforcement learning approach
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
Eugene Grois, David C. Wilkins
96
Voted
CVPR
2008
IEEE
16 years 2 months ago
Taylor expansion based classifier adaptation: Application to person detection
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
Cha Zhang, Raffay Hamid, Zhengyou Zhang
102
Voted
BMCBI
2008
114views more  BMCBI 2008»
15 years 18 days ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...