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» Decision trees do not generalize to new variations
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AI
2002
Springer
13 years 8 months ago
Improving heuristic mini-max search by supervised learning
This article surveys three techniques for enhancing heuristic game-tree search pioneered in the author's Othello program Logistello, which dominated the computer Othello scen...
Michael Buro
AAAI
2011
12 years 8 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith
EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 27 days ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
IJRR
2006
126views more  IJRR 2006»
13 years 8 months ago
Market-based Multirobot Coordination for Complex Tasks
Current technological developments and application-driven demands are bringing us closer to the realization of autonomous multirobot systems performing increasingly complex missio...
Robert Zlot, Anthony Stentz
IMC
2006
ACM
14 years 2 months ago
The need for cross-layer information in access point selection algorithms
The low price of commodity wireless LAN cards and access points (APs) has resulted in the rich proliferation of high density WLANs in enterprise, academic environments, and public ...
Karthikeyan Sundaresan, Konstantina Papagiannaki