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JMLR
2010
107views more  JMLR 2010»
14 years 4 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
CORR
2010
Springer
167views Education» more  CORR 2010»
14 years 9 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
APNOMS
2008
Springer
14 years 11 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
HPDC
2005
IEEE
15 years 3 months ago
Adaptive data block scheduling for parallel TCP streams
Applications that use parallel TCP streams to increase throughput must multiplex and demultiplex data blocks over a set of TCP streams transmitting on one or more network paths. W...
Thomas J. Hacker, Brian D. Noble, Brian D. Athey
INFOCOM
2003
IEEE
15 years 3 months ago
Can Shortest-path Routing and TCP Maximize Utility
TCP-AQM protocols can be interpreted as distributed primal-dual algorithms over the Internet to maximize aggregate utility over source rates. In this paper we study whether TCP–...
Jiantao Wang, Lun Li, Steven H. Low, John Doyle