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» A Bayesian Metric for Evaluating Machine Learning Algorithms
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ACML
2009
Springer
15 years 2 months ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
HCW
1999
IEEE
15 years 2 months ago
Multiple Cost Optimization for Task Assignment in Heterogeneous Computing Systems Using Learning Automata
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Raju D. Venkataramana, N. Ranganathan
KDD
2007
ACM
210views Data Mining» more  KDD 2007»
15 years 4 months ago
Machine learning for stock selection
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
Robert J. Yan, Charles X. Ling
IAAI
2003
14 years 11 months ago
CriterionSM Online Essay Evaluation: An Application for Automated Evaluation of Student Essays
This paper describes a deployed educational technology application: the CriterionSM Online Essay Evaluation Service, a web-based system that provides automated scoring and evaluat...
Jill Burstein, Martin Chodorow, Claudia Leacock
CVPR
1998
IEEE
15 years 11 months ago
An Optimized Interaction Strategy for Bayesian Relevance Feedback
A new algorithm and systematic evaluation is presented for searching a database via relevance feedback. It represents a new image display strategy for the PicHunter system [2, 1]....
Ingemar J. Cox, Matthew L. Miller, Thomas P. Minka...