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GEM
2008
13 years 10 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk
TEC
2002
128views more  TEC 2002»
13 years 8 months ago
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
MSN
2007
Springer
130views Sensor Networks» more  MSN 2007»
14 years 3 months ago
Localized Mobility Control Routing in Robotic Sensor Wireless Networks
The paper addresses mobility control routing in robotic sensor wireless networks, where either mobile sensors or mobile actuators assist in wireless data intensive transmissions fr...
Hai Liu, Amiya Nayak, Ivan Stojmenovic
CORR
2011
Springer
172views Education» more  CORR 2011»
13 years 4 months ago
Improving Strategies via SMT Solving
We consider the problem of computing numerical invariants of programs by abstract interpretation. Our method eschews two traditional sources of imprecision: (i) the use of widenin...
Thomas Martin Gawlitza, David Monniaux
SIGIR
2012
ACM
11 years 11 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng