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ICML
2009
IEEE
14 years 9 months ago
The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
Carlos Diuk, Lihong Li, Bethany R. Leffler
RTAS
2008
IEEE
14 years 3 months ago
Physical Assembly Mapper: A Model-Driven Optimization Tool for QoS-Enabled Component Middleware
This paper provides four contributions to the study of optimization techniques for component-based distributed realtime and embedded (DRE) systems. First, we describe key challeng...
Krishnakumar Balasubramanian, Douglas C. Schmidt
CEC
2007
IEEE
14 years 3 months ago
Performance tuning of genetic algorithms with reserve selection
Abstract— This paper provides a deep insight into the performance of genetic algorithms with reserve selection (GARS), and investigates how parameters can be regulated to solve o...
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
ACL
2008
13 years 10 months ago
Summarizing Emails with Conversational Cohesion and Subjectivity
In this paper, we study the problem of summarizing email conversations. We first build a sentence quotation graph that captures the conversation structure among emails. We adopt t...
Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou
IPPS
2007
IEEE
14 years 2 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...