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AI
2002
Springer
13 years 10 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
MANSCI
2007
121views more  MANSCI 2007»
13 years 10 months ago
Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
Extracting sentiment from text is a hard semantic problem. We develop a methodology for extracting small investor sentiment from stock message boards. The algorithm comprises diļ¬...
Sanjiv R. Das, Mike Y. Chen
MANSCI
2007
198views more  MANSCI 2007»
13 years 10 months ago
Real Options in Technology Licensing
ā€œReal optionsā€ is often viewed as a valuable managerial tool of flexibility and exploration in new technology investment. Real options theory has been criticized, however, due...
Arvids A. Ziedonis
BC
2002
108views more  BC 2002»
13 years 10 months ago
Spike-timing-dependent plasticity: common themes and divergent vistas
Abstract. Recent experimental observations of spiketiming-dependent synaptic plasticity (STDP) have revitalized the study of synaptic learning rules. The most surprising aspect of ...
Ádám Kepecs, Mark C. W. van Rossum, ...
BMCBI
2004
208views more  BMCBI 2004»
13 years 10 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
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