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ILP
2003
Springer
16 years 5 hour ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
WMTE
2002
IEEE
15 years 11 months ago
Applying Wireless Technologies to Build a Highly Interactive Learning Environment
This study tries to apply wireless technologies to build a highly interactive environment. For this purpose, this study first identifies four types of interaction between the memb...
Tzu-Chien Liu, Hsue-Yie Wang, Jen-Kai Liang, Tak-W...
INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
15 years 11 months ago
Semi-supervised Learning for False Alarm Reduction
Abstract. Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of tri...
Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen...
ITS
2010
Springer
168views Multimedia» more  ITS 2010»
15 years 11 months ago
Computational Workflows for Assessing Student Learning
The use of technology for instruction, and the enormous amount of information available for consumption, places a considerable burden on instructors who must learn to integrate app...
Jun Ma, Erin Shaw, Jihie Kim
ILP
1998
Springer
15 years 11 months ago
Learning Structurally Indeterminate Clauses
This paper describes a new kind of language bias, S-structural indeterminate clauses, which takes into account the meaning of predicates that play a key role in the complexity of l...
Jean-Daniel Zucker, Jean-Gabriel Ganascia