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PPSN
2010
Springer
13 years 7 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
PC
2007
119views Management» more  PC 2007»
13 years 9 months ago
Brokering strategies in computational grids using stochastic prediction models
In this paper we propose a new routing policy to route jobs to clusters in computational grids. This routing policy is based on index tables computed at each cluster. These tables...
Vandy Berten, Bruno Gaujal
EMNLP
2010
13 years 7 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Avihai Mejer, Koby Crammer
JMLR
2012
12 years 8 days ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
ESWA
2010
163views more  ESWA 2010»
13 years 8 months ago
REIT volatility prediction for skew-GED distribution of the GARCH model
This study investigates how specification of return distribution for REIT influences the performance of volatility forecasting using three GARCH models (GARCH-N, GARCH-ST and GARC...
Yen-Hsien Lee, Tung-Yueh Pai