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IJCAI
2007
15 years 8 months ago
Online Learning and Exploiting Relational Models in Reinforcement Learning
In recent years, there has been a growing interest in using rich representations such as relational languages for reinforcement learning. However, while expressive languages have ...
Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Ma...
GRC
2008
IEEE
15 years 8 months ago
Fuzzy Preference Relation Rough Sets
Preference analysis is a class of important tasks in multi-criteria decision making. The classical rough set theory was generalized to deal with preference analysis by replacing e...
Qinghua Hu, Daren Yu, Congxin Wu
VLDB
2000
ACM
136views Database» more  VLDB 2000»
15 years 10 months ago
Managing Intervals Efficiently in Object-Relational Databases
Modern database applications show a growing demand for efficient and dynamic management of intervals, particularly for temporal and spatial data or for constraint handling. Common...
Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
203
Voted
ACL
2006
15 years 8 months ago
Relation Extraction Using Label Propagation Based Semi-Supervised Learning
Shortage of manually labeled data is an obstacle to supervised relation extraction methods. In this paper we investigate a graph based semi-supervised learning algorithm, a label ...
Jinxiu Chen, Dong-Hong Ji, Chew Lim Tan, Zheng-Yu ...
ICCV
2003
IEEE
16 years 9 months ago
A Bayesian Network Framework for Relational Shape Matching
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...
Anand Rangarajan, James M. Coughlan, Alan L. Yuill...