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» Properties of Support Vector Machines
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SIGCOMM
1994
ACM
15 years 11 months ago
Highly Dynamic Destination-Sequenced Distance-Vector Routing (DSDV) for mobile computers
An ad-hoc network is the cooperative engagement of a collection of Mobile Hosts without the required intervention of any centralized Access Point. In this paper we present an inno...
Charles E. Perkins, Pravin Bhagwat
DAGSTUHL
2006
15 years 8 months ago
An Operator-based Approach to Incremental Development of Conform Protocol State Machines
An incremental development framework which supports a conform construction of Protocol State Machines (PSMs) is presented. We capture design concepts and strategies of PSM constru...
Arnaud Lanoix, Dieu Donné Okalas Ossami, Je...
168
Voted
DCC
2009
IEEE
16 years 7 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
200
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RECOMB
2005
Springer
16 years 7 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
IJCSA
2007
84views more  IJCSA 2007»
15 years 7 months ago
Real Time Model Checking Using Timed Concurrent State Machines
Timed Concurrent State Machines are an application of Alur’s Timed Automata concept to coincidence-based (rather than interleaving) CSM modeling technique. TCSM support the idea...
Wiktor B. Daszczuk