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ICML
1998
IEEE
16 years 7 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
Thomas G. Dietterich
WWW
2006
ACM
16 years 7 months ago
Using symbolic objects to cluster web documents
Web Clustering is useful for several activities in the WWW, from automatically building web directories to improve retrieval performance. Nevertheless, due to the huge size of the...
Esteban Meneses, Oldemar Rodríguez-Rojas
ICIAP
2009
ACM
16 years 7 months ago
Multi-class Binary Symbol Classification with Circular Blurred Shape Models
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
CHI
2003
ACM
16 years 7 months ago
The evolution of buildings and implications for the design of ubiquitous domestic environments
This paper considers how we may realize future ubiquitous domestic environments. Building upon previous work on how buildings evolve by Stewart Brand, we suggest the need to broad...
Tom Rodden, Steve Benford
ICCD
2001
IEEE
176views Hardware» more  ICCD 2001»
16 years 3 months ago
BDD Variable Ordering by Scatter Search
Reduced Ordered Binary Decision Diagrams (BDDs) are a data structure for representation and manipulation of Boolean functions which are frequently used in VLSI Design Automation. ...
William N. N. Hung, Xiaoyu Song