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» A Practical Technique for Process Abstraction
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AIIDE
2006
15 years 7 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
ECIR
2004
Springer
15 years 7 months ago
Complex Linguistic Features for Text Classification: A Comprehensive Study
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
Alessandro Moschitti, Roberto Basili
ADBIS
2010
Springer
140views Database» more  ADBIS 2010»
15 years 6 months ago
Estimation of the Maximum Domination Value in Multi-dimensional Data Sets
Abstract. The last years there is an increasing interest for query processing techniques that take into consideration the dominance relationship between objects to select the most ...
Eleftherios Tiakas, Apostolos N. Papadopoulos, Yan...
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 6 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
IJISTA
2008
139views more  IJISTA 2008»
15 years 6 months ago
Spherical light field rendering in application for analysis by synthesis
Abstract: This paper presents a novel approach for object classification and pose estimation which employs spherical light field rendering to generate virtual views based on synthe...
Severin Todt, Matthias Langer, Christof Rezk-Salam...