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ECML
2006
Springer
15 years 10 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Scott Proper, Prasad Tadepalli
PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Feature Selection for Clustering
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
Manoranjan Dash, Huan Liu
VLDB
1995
ACM
129views Database» more  VLDB 1995»
15 years 10 months ago
A Cost Model for Clustered Object-Oriented Databases
Query processing is one of the most, critical issues in Object-Oriented DBMSs. Extensible opt,imizers with efficient, search strategies require a cost model to select the most eff...
Georges Gardarin, Jean-Robert Gruser, Zhao-Hui Tan...
AAAI
2007
15 years 9 months ago
Learning and Inference for Hierarchically Split PCFGs
Treebank parsing can be seen as the search for an optimally refined grammar consistent with a coarse training treebank. We describe a method in which a minimal grammar is hierarc...
Slav Petrov, Dan Klein
AAAI
2007
15 years 9 months ago
An Experimental Comparison of Constraint Logic Programming and Answer Set Programming
Answer Set Programming (ASP) and Constraint Logic Programming over finite domains (CLP(FD)) are two declarative programming paradigms that have been extensively used to encode ap...
Agostino Dovier, Andrea Formisano, Enrico Pontelli