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» Deductive Algorithmic Knowledge
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134
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SAC
2009
ACM
15 years 9 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
118
Voted
AIIA
2007
Springer
15 years 9 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
119
Voted
ATAL
2005
Springer
15 years 8 months ago
Comparative analysis of top-down and bottom-up methodologies for multi-agent system design
Traditionally, top-down and bottom-up design approaches have competed with each other in Algorithmics and Software Engineering. In the top-down approach, design process starts wit...
Valentino Crespi, Aram Galstyan, Kristina Lerman
122
Voted
IEEEICCI
2002
IEEE
15 years 7 months ago
Software Agents: Quality, Complexity and Uncertainty Issues
In software engineering community there is an increasing effort of design and development of multiagent systems (MAS). Among several issues emerging from this initiative, complexi...
Behrouz Homayoun Far
EMNLP
2004
15 years 4 months ago
Scaling Web-based Acquisition of Entailment Relations
Paraphrase recognition is a critical step for natural language interpretation. Accordingly, many NLP applications would benefit from high coverage knowledge bases of paraphrases. ...
Idan Szpektor, Hristo Tanev, Ido Dagan, Bonaventur...