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COLT
2008
Springer
15 years 8 months ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin
NIPS
2001
15 years 7 months ago
The Steering Approach for Multi-Criteria Reinforcement Learning
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
Shie Mannor, Nahum Shimkin
ICDM
2002
IEEE
91views Data Mining» more  ICDM 2002»
15 years 11 months ago
Mining Molecular Fragments: Finding Relevant Substructures of Molecules
We present an algorithm to find fragments in a set of molecules that help to discriminate between different classes of, for instance, activity in a drug discovery context. Instea...
Christian Borgelt, Michael R. Berthold
EMNLP
2006
15 years 7 months ago
Fully Automatic Lexicon Expansion for Domain-oriented Sentiment Analysis
This paper proposes an unsupervised lexicon building method for the detection of polar clauses, which convey positive or negative aspects in a specific domain. The lexical entries...
Hiroshi Kanayama, Tetsuya Nasukawa
ECTEL
2007
Springer
16 years 9 days ago
LOCO-Analyst: A Tool for Raising Teachers' Awareness in Online Learning Environments
The paper presents LOCO-Analyst, an educational tool for providing teachers with feedback on the relevant aspects of the learning process taking place in a web-based learning envir...
Jelena Jovanovic, Dragan Gasevic, Christopher A. B...