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» Context Modeling: Task Model and Practice Model
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ECML
2004
Springer
15 years 9 months ago
Model Approximation for HEXQ Hierarchical Reinforcement Learning
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
Bernhard Hengst
ICTAI
2008
IEEE
15 years 10 months ago
Information Extraction as an Ontology Population Task and Its Application to Genic Interactions
Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
Alain-Pierre Manine, Érick Alphonse, Philip...
WWW
2011
ACM
14 years 11 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
ACL
1997
15 years 5 months ago
Mistake-Driven Mixture of Hierarchical Tag Context Trees
This paper proposes a mistake-driven mixture method for learning a tag model. The method iteratively performs two proce
Masahiko Haruno, Yuji Matsumoto
FGR
2002
IEEE
141views Biometrics» more  FGR 2002»
15 years 9 months ago
Consistency and Coupling in Human Model Likelihoods
This paper presents two novel likelihood terms for silhouettes and contours in model-based contexts. Despite the power of such formulations, building likelihoods that truly refle...
Cristian Sminchisescu