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117
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ECML
2006
Springer
15 years 6 months ago
An Efficient Approximation to Lookahead in Relational Learners
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
Jan Struyf, Jesse Davis, C. David Page Jr.
147
Voted
RIAO
2007
15 years 4 months ago
Content-Based Peer-to-Peer Network Overlay for Full-Text Federated Search
Peer-to-peer network overlays have mostly been designed to support search over document names, identifiers, or keywords from a small or controlled vocabulary. In this paper we pro...
Jie Lu, Jamie Callan
143
Voted
ICML
2001
IEEE
16 years 3 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
126
Voted
IJCAI
1989
15 years 3 months ago
Constrained Heuristic Search
Cognitive architectures aspire for generality both in terms of problem solving and learning across a range of problems, yet to date few examples of domain independent learning has...
Mark S. Fox, Norman M. Sadeh, Can A. Baykan
125
Voted
WWW
2008
ACM
16 years 3 months ago
Analysis of geographic queries in a search engine log
Geography is becoming increasingly important in web search. Search engines can often return better results to users by analyzing features such as user location or geographic terms...
Qingqing Gan, Josh Attenberg, Alexander Markowetz,...