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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
14 years 3 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
SIGMETRICS
2010
ACM
223views Hardware» more  SIGMETRICS 2010»
14 years 3 months ago
Self-synchronizing properties of CSMA wireless multi-hop networks
We show that CSMA is able to spontaneously synchronize transmissions in a wireless network with constant-size packets, and that this property can be used to devise efficient synch...
Kuang Xu, Olivier Dousse, Patrick Thiran
CDC
2009
IEEE
117views Control Systems» more  CDC 2009»
14 years 2 months ago
Information dissemination in networks via linear iterative strategies over finite fields
— Given an arbitrary network of interconnected nodes, each with an initial value from a discrete set, we consider the problem of distributively disseminating these initial values...
Shreyas Sundaram, Christoforos N. Hadjicostis
CONTEXT
2001
Springer
14 years 2 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
LCPC
2001
Springer
14 years 2 months ago
Strength Reduction of Integer Division and Modulo Operations
Integer division, modulo, and remainder operations are expressive and useful operations. They are logical candidates to express complex data accesses such as the wrap-around behav...
Jeffrey Sheldon, Walter Lee, Ben Greenwald, Saman ...