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SEBD
2008
169views Database» more  SEBD 2008»
13 years 11 months ago
Clustering the Feature Space
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
Dino Ienco, Rosa Meo
JMLR
2011
192views more  JMLR 2011»
13 years 5 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
IDMS
2000
Springer
128views Multimedia» more  IDMS 2000»
14 years 1 months ago
Fast and Optimal Multicast-Server Selection Based on Receivers' Preference
Abstract. In this paper, we propose static and dynamic server selection techniques for multicast receivers who receive multiple streams from replicated servers. In the proposed sta...
Akihito Hiromori, Hirozumi Yamaguchi, Keiichi Yasu...
VTC
2007
IEEE
132views Communications» more  VTC 2007»
14 years 4 months ago
Collaborative Information Revelation and Collusion in "Word-of-Mouth" Access Selection Schemes
— “Word-of-Mouth”, a novel scheme for sharing the service quality experienced with different local networks, is presented and evaluated as a distributed solution for performi...
Pietro Lungaro
RECOMB
2009
Springer
14 years 5 months ago
Protein Fragment Swapping: A Method for Asymmetric, Selective Site-Directed Recombination
This paper presents a new approach to site-directed recombination, swapping combinations of selected discontiguous fragments from a source protein in place of corresponding fragmen...
Wei Zheng, Karl E. Griswold, Chris Bailey-Kellogg