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133
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IJCAI
2007
15 years 6 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern
181
Voted
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
15 years 11 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
ECAI
1990
Springer
15 years 8 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt
130
Voted
FLAIRS
2001
15 years 6 months ago
Learning and Predicting User Behavior for Particular Resource Use
To successfully interact with users in providing useful information, intelligent user interfaces need a mechanism for recognizing, characterizing, and predicting user actions. In ...
Jung Jin Lee, Robert McCartney, Eugene Santos Jr.
ICPR
2008
IEEE
16 years 5 months ago
Incremental machine learning techniques for document layout understanding
In real-world Digital Libraries, Artificial Intelligence techniques are essential for tackling the automatic document processing task with sufficient flexibility. The great variab...
Floriana Esposito, Marenglen Biba, Stefano Ferilli...