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ILP
2003
Springer
15 years 11 months 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
ACSC
2001
IEEE
15 years 9 months ago
Efficiency of Data Structures for Detecting Overlaps in Digital Documents
This paper analyses the efficiency of different data structures for detecting overlap in digital documents. Most existing approaches use some hash function to reduce the space req...
Krisztián Monostori, Arkady B. Zaslavsky, H...
ICCV
2007
IEEE
16 years 8 months ago
Globally Optimal Image Segmentation with an Elastic Shape Prior
So far global optimization techniques have been developed independently for the tasks of shape matching and image segmentation. In this paper we show that both tasks can in fact b...
Thomas Schoenemann, Daniel Cremers
IJCAI
1997
15 years 7 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
AIPS
2000
15 years 7 months ago
New Advances in GraphHTN: Identifying Independent Subproblems in Large HTN Domains
We describe in this paper a new method for extracting knowledge on Hierarchical Task-Network (HTN) planning problems for speeding up the search. This knowledge is gathered by prop...
Amnon Lotem, Dana S. Nau