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NIPS
1990
14 years 11 months ago
Learning to See Rotation and Dilation with a Hebb Rule
Previous work (M.I. Sereno, 1989; cf. M.E. Sereno, 1987) showed that a feedforward network with area V1-like input-layer units and a Hebb rule can develop area MT-like second laye...
Martin I. Sereno, Margaret E. Sereno
LREC
2010
147views Education» more  LREC 2010»
14 years 11 months ago
Learning Recursive Segments for Discourse Parsing
Automatically detecting discourse segments is an important preliminary step towards full discourse parsing. Previous research on discourse segmentation have relied on the assumpti...
Stergos D. Afantenos, Pascal Denis, Philippe Mulle...
ACL
2011
14 years 1 months ago
Learning From Collective Human Behavior to Introduce Diversity in Lexical Choice
We analyze collective discourse, a collective human behavior in content generation, and show that it exhibits diversity, a property of general collective systems. Using extensive ...
Vahed Qazvinian, Dragomir R. Radev
KDD
2009
ACM
266views Data Mining» more  KDD 2009»
15 years 4 months ago
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Wei Jin, Hung Hay Ho, Rohini K. Srihari
ICANN
2007
Springer
15 years 4 months ago
Generalized Softmax Networks for Non-linear Component Extraction
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
Jörg Lücke, Maneesh Sahani