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ICML
2006
IEEE
16 years 1 months ago
Iterative RELIEF for feature weighting
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform s...
Yijun Sun, Jian Li
136
Voted
JAIR
2002
163views more  JAIR 2002»
15 years 11 days ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
MSR
2006
ACM
15 years 6 months ago
Mining sequences of changed-files from version histories
Modern source-control systems, such as Subversion, preserve change-sets of files as atomic commits. However, the specific ordering information in which files were changed is typic...
Huzefa H. Kagdi, Shehnaaz Yusuf, Jonathan I. Malet...
ML
2006
ACM
110views Machine Learning» more  ML 2006»
15 years 20 days ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
94
Voted
INFOCOM
2006
IEEE
15 years 6 months ago
Resource Allocation for Multicast Services in Multicarrier Wireless Communications
— We consider a multicast resource allocation problem for the downlink in OFDM-based wireless cellular network systems. In a conventional multicast system, to accommodate users w...
Changho Suh, Jeonghoon Mo