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ACL
1994
15 years 5 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
107
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ISCAS
2007
IEEE
128views Hardware» more  ISCAS 2007»
15 years 10 months ago
Synchronization of the Time-Varying Discrete Biological Networks
Abstract— The study of synchronization of population dynamics is extremely important for predicting and evaluating the risk of global extinctions. The migration in a network of p...
Liang Chen, Jinhu Lu, Junan Lu
121
Voted
ICC
2008
IEEE
141views Communications» more  ICC 2008»
15 years 10 months ago
Multilevel Structured Low-Density Parity-Check Codes
— Low-Density Parity-Check (LDPC) codes are typically characterized by a relatively high-complexity description, since a considerable amount of memory is required in order to sto...
Nicholas Bonello, Sheng Chen, Lajos Hanzo
139
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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 4 months ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
139
Voted
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
16 years 25 days ago
Structure and Dynamics of Research Collaboration in Computer Science.
Complex systems exhibit emergent patterns of behavior at different levels of organization. Powerful network analysis methods, developed in physics and social sciences, have been s...
Andre Nash, Christian Bird, Earl T. Barr, Premkuma...