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» Learning the Ideal Evaluation Function
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102
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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 1 months ago
Hierarchical evolution of linear regressors
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Francesc Teixidó-Navarro, Albert Orriols-Pu...
111
Voted
ICML
2006
IEEE
16 years 1 months ago
Learning user preferences for sets of objects
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
Marie desJardins, Eric Eaton, Kiri Wagstaff
109
Voted
CLUSTER
2008
IEEE
15 years 7 months ago
Impact of topology and link aggregation on a PC cluster with Ethernet
Abstract—In addition to its use in local area networks, Ethernet has been used for connecting hosts in the area of highperformance computing. Here, we investigated the impact of ...
Takafumi Watanabe, Masahiro Nakao, Tomoyuki Hiroya...
102
Voted
ICML
2010
IEEE
15 years 1 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
120
Voted
RAS
2002
131views more  RAS 2002»
15 years 10 days ago
Behavior generation for a mobile robot based on the adaptive fitness function
We have to prepare the evaluation (fitness) function to evaluate the performance of the robot when we apply the machine learning techniques to the robot application. In many cases,...
Eiji Uchibe, Masakazu Yanase, Minoru Asada