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» Knowledge and Structure in Social Algorithms
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144
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IPPS
2009
IEEE
15 years 10 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader
120
Voted
CEC
2008
IEEE
15 years 10 months ago
Conventionalization of linguistic categories under simple communicative constraints
—The language game approach is widely adopted to study conventionalization of linguistic knowledge. Most of contemporary models concentrate on the dynamics of language games in r...
Tao Gong, Andrea Puglisi, Vittorio Loreto, William...
151
Voted
DASFAA
2005
IEEE
153views Database» more  DASFAA 2005»
15 years 9 months ago
FASST Mining: Discovering Frequently Changing Semantic Structure from Versions of Unordered XML Documents
Abstract. In this paper, we present a FASST mining approach to extract the frequently changing semantic structures (FASSTs), which are a subset of semantic substructures that chang...
Qiankun Zhao, Sourav S. Bhowmick
132
Voted
ICML
2009
IEEE
16 years 4 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
135
Voted
AAAI
2006
15 years 5 months ago
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Yaxin Liu, Peter Stone