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ACL
2006
15 years 7 months ago
An All-Subtrees Approach to Unsupervised Parsing
We investigate generalizations of the allsubtrees "DOP" approach to unsupervised parsing. Unsupervised DOP models assign all possible binary trees to a set of sentences ...
Rens Bod
IJCAI
2003
15 years 7 months ago
Collaborative Filtering Using Associative Neural Memory
There are two types of collaborative filtering (CF) systems, user-based and item-based. This paper introduces an item-based CF system for ranking derived from Linear Associative ...
Chuck P. Lam
AAAI
1996
15 years 7 months ago
A Graph-Based Method for Improving GSAT
GSAT is a randomized greedy local repair procedure that was introduced for solving propositional satis ability and constraint satisfaction problems. We present an improvement to G...
Kalev Kask, Rina Dechter
175
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ICML
2010
IEEE
15 years 7 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
138
Voted
ICDE
2010
IEEE
195views Database» more  ICDE 2010»
15 years 6 months ago
Advances in constrained clustering
— Constrained clustering (semi-supervised learning) techniques have attracted more attention in recent years. However, the commonly used constraints are restricted to the instanc...
ZiJie Qi, Yinghui Yang