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IPPS
1998
IEEE
15 years 2 months ago
Using the BSP Cost Model to Optimise Parallel Neural Network Training
We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...
R. O. Rogers, David B. Skillicorn
ICASSP
2011
IEEE
14 years 1 months ago
Factor graph switching portfolios under transaction costs
We consider the sequential portfolio investment problem. Building on results in signal processing, machine learning, and other areas, we use factor graphs to develop new universal...
Andrew J. Bean, Andrew C. Singer
AAAI
2007
15 years 5 days ago
Learning Equilibrium in Resource Selection Games
We consider a resource selection game with incomplete information about the resource-cost functions. All the players know is the set of players, an upper bound on the possible cos...
Itai Ashlagi, Dov Monderer, Moshe Tennenholtz
ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
15 years 1 months ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes
LREC
2008
119views Education» more  LREC 2008»
14 years 11 months ago
Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study
Fixed, limited budgets often constrain the amount of expert annotation that can go into the construction of annotated corpora. Estimating the cost of annotation is the first step ...
Eric K. Ringger, Marc Carmen, Robbie Haertel, Kevi...