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ML
2002
ACM
107views Machine Learning» more  ML 2002»
15 years 6 months ago
Training Invariant Support Vector Machines
Practical experience has shown that in order to obtain the best possible performance, prior knowledge about invariances of a classification problem at hand ought to be incorporated...
Dennis DeCoste, Bernhard Schölkopf
ML
2002
ACM
145views Machine Learning» more  ML 2002»
15 years 6 months ago
Boosting Methods for Regression
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
Nigel Duffy, David P. Helmbold
MONET
2002
117views more  MONET 2002»
15 years 6 months ago
A Service Management Framework for M-Commerce Applications
Mobile commerce (m-commerce) refers to an ability to conduct wireless commerce transactions using mobile applications in mobile devices. M-commerce applications can range from as s...
Gary Shih, Simon S. Y. Shim
MST
2002
113views more  MST 2002»
15 years 6 months ago
Diffusion Schemes for Load Balancing on Heterogeneous Networks
Several different diffusion schemes have previously been developed for load balancing on homogeneous processor networks. We generalize existing schemes, in order to deal with heter...
Robert Elsässer, Burkhard Monien, Robert Prei...
MT
2002
118views more  MT 2002»
15 years 6 months ago
MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules
The AVENUE project contains a run-time machine translation program that is surrounded by pre- and post-run-time modules. The post-run-time module selects among translation alternat...
Katharina Probst, Lori S. Levin, Erik Peterson, Al...