Sciweavers

1034 search results - page 68 / 207
» A Bayesian Metric for Evaluating Machine Learning Algorithms
Sort
View
ACML
2009
Springer
15 years 10 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 10 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»
16 years 9 days 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
15 years 7 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
16 years 8 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...