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» Improving the Performance of the RISE Algorithm
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SIGIR
2010
ACM
15 years 10 months ago
Many are better than one: improving multi-document summarization via weighted consensus
Given a collection of documents, various multi-document summarization methods have been proposed to generate a short summary. However, few studies have been reported on aggregatin...
Dingding Wang, Tao Li
GECCO
2006
Springer
196views Optimization» more  GECCO 2006»
15 years 10 months ago
An anticipatory approach to improve XCSF
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...
Amin Nikanjam, Adel Torkaman Rahmani
ILP
2000
Springer
15 years 10 months ago
Using ILP to Improve Planning in Hierarchical Reinforcement Learning
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
Mark D. Reid, Malcolm R. K. Ryan
CORR
2008
Springer
158views Education» more  CORR 2008»
15 years 6 months ago
Improved Smoothed Analysis of the k-Means Method
The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...
Bodo Manthey, Heiko Röglin
CSDA
2007
109views more  CSDA 2007»
15 years 6 months ago
Improving the computation of censored quantile regressions
Abstract. Censored quantile regressions (CQR) are a valuable tool in economics and engineering. The computation of estimators is highly complex and the performance of standard meth...
Bernd Fitzenberger, Peter Winker