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CORR
2006
Springer
153views Education» more  CORR 2006»
13 years 7 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
IJIIDS
2008
201views more  IJIIDS 2008»
13 years 7 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
JMLR
2008
230views more  JMLR 2008»
13 years 7 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
VLSISP
2008
108views more  VLSISP 2008»
13 years 7 months ago
Interconnect Driver Design for Long Wires in Field-Programmable Gate Arrays
Each new semiconductor technology node brings smaller, faster transistors and smaller, slower wires. In particular, long interconnect wires in modern FPGAs now require rebuffering ...
Edmund Lee, Guy Lemieux, Shahriar Mirabbasi
INFOCOM
2010
IEEE
13 years 6 months ago
Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks
Abstract—Distance estimation is fundamental for many functionalities of wireless sensor networks and has been studied intensively in recent years. A critical challenge in distanc...
Yun Wang, Kai Li, Jie Wu