1091 search results - page 101 / 219 » Learning Models for Predicting Recognition Performance |
125
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
121
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EDM
2010
15 years 4 months ago
2010
In this paper we present an evaluation of new techniques for automatically detecting sentiment polarity (Positive or Negative) in the students responses to Unit of Study Evaluation...
169
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ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
Topic models have recently emerged as powerful tools for modeling topical trends in documents. Often the resulting topics are broad and generic, associating large groups of people...
126
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NIPS
1994
15 years 4 months ago
1994
Experiments were performed to reveal some of the computational properties of the human motor memory system. We show that as humans practice reaching movements while interacting wi...
144
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AAAI
2011
14 years 3 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...