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NIPS
2001
15 years 8 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
COLT
2004
Springer
16 years 8 days ago
Learning Classes of Probabilistic Automata
Abstract. Probabilistic finite automata (PFA) model stochastic languages, i.e. probability distributions over strings. Inferring PFA from stochastic data is an open field of rese...
François Denis, Yann Esposito
ACL
2009
15 years 4 months ago
Active Learning for Multilingual Statistical Machine Translation
Statistical machine translation (SMT) models require bilingual corpora for training, and these corpora are often multilingual with parallel text in multiple languages simultaneous...
Gholamreza Haffari, Anoop Sarkar
ISNN
2005
Springer
16 years 11 days ago
Self-organizing Map Analysis of Conceptual and Semantic Relations for Noun
In this paper, we analyzed self-organizing map of conceptual and semantic relations for noun, discussing the semantic distinction between conceptual nouns for natural language proc...
Minghu Jiang, Chengqing Zong, Beixing Deng
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COLING
2008
15 years 8 months ago
Class-Driven Attribute Extraction
We report on the large-scale acquisition of class attributes with and without the use of lists of representative instances, as well as the discovery of unary attributes, such as t...
Benjamin Van Durme, Ting Qian, Lenhart Schubert