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ECML
2007
Springer
15 years 3 months ago
Roulette Sampling for Cost-Sensitive Learning
In this paper, we propose a new and general preprocessor algorithm, called CSRoulette, which converts any cost-insensitive classification algorithms into cost-sensitive ones. CSRou...
Victor S. Sheng, Charles X. Ling
90
Voted
SYSTOR
2010
ACM
15 years 2 months ago
Design and implementation of a generic resource sharing virtual time dispatcher
Virtual machine monitors, especially when used for server consolidation, need to enforce a predefined sharing of resources among the running virtual machines. We propose a new me...
Tal Ben-Nun, Yoav Etsion, Dror G. Feitelson
ICML
2010
IEEE
14 years 10 months ago
Finite-Sample Analysis of LSTD
In this paper we consider the problem of policy evaluation in reinforcement learning, i.e., learning the value function of a fixed policy, using the least-squares temporal-differe...
Alessandro Lazaric, Mohammad Ghavamzadeh, Ré...
100
Voted
ALT
2006
Springer
15 years 6 months ago
Learning Linearly Separable Languages
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
ML
2008
ACM
14 years 9 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer