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» Learning with Temporary Memory
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KDD
2010
ACM
222views Data Mining» more  KDD 2010»
13 years 9 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...
ICMLA
2010
13 years 5 months ago
Nonlinear Dynamical Multi-Scale Model of Associative Memory
How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...
Alexander M. Duda, Stephen E. Levinson
SAT
2009
Springer
79views Hardware» more  SAT 2009»
14 years 1 months ago
Minimizing Learned Clauses
Minimizing learned clauses is an effective technique to reduce memory usage and also speed up solving time. It has been implemented in MINISAT since 2005 and is now adopted by mos...
Niklas Sörensson, Armin Biere
IAT
2009
IEEE
14 years 2 months ago
Topology and Memory Effect on Convention Emergence
Abstract—Social conventions are useful self-sustaining protocols for groups to coordinate behavior without a centralized entity enforcing coordination. We perform an in-depth stu...
Daniel Villatoro, Sandip Sen, Jordi Sabater-Mir
IJCAI
2007
13 years 8 months ago
An Information-Theoretic Analysis of Memory Bounds in a Distributed Resource Allocation Mechanism
Multiagent distributed resource allocation requires that agents act on limited, localized information with minimum communication overhead in order to optimize the distribution of ...
Ricardo M. Araujo, Luís C. Lamb