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86
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NECO
2007
150views more  NECO 2007»
14 years 9 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
PAMI
2007
245views more  PAMI 2007»
14 years 9 months ago
Tracking People by Learning Their Appearance
—An open vision problem is to automatically track the articulations of people from a video sequence. This problem is difficult because one needs to determine both the number of p...
Deva Ramanan, David A. Forsyth, Andrew Zisserman
101
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ATMOS
2010
183views Optimization» more  ATMOS 2010»
14 years 9 months ago
The Complexity of Integrating Routing Decisions in Public Transportation Models
To model and solve optimization problems arising in public transportation, data about the passengers is necessary and has to be included in the models in any phase of the planning...
Marie Schmidt, Anita Schöbel
76
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JAPLL
2010
98views more  JAPLL 2010»
14 years 8 months ago
Formalization of the ad hominem argumentation scheme
In this paper, several examples from the literature, and one central new one, are used as case studies of texts of discourse containing an argumentation scheme that has now been w...
Douglas Walton
106
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AMSTERDAM
2009
14 years 8 months ago
The Semantics of Count Nouns
This paper offers an account of the semantics of count nous. I show that neither the atomic/nonatomic distinction nor the homogeneous/non-homogeneous distinction is sufficient to ...
Susan Rothstein
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