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RECOMB
2005
Springer
16 years 3 days 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...
MSWIM
2005
ACM
15 years 5 months ago
Topology control with better radio models: implications for energy and multi-hop interference
Topology Control (TC) is a well-studied technique used in wireless ad hoc networks to find energy-efficient and/or low-interference subgraphs of the maxpower communication graph....
Douglas M. Blough, Mauro Leoncini, Giovanni Resta,...
BMCBI
2006
144views more  BMCBI 2006»
14 years 12 months ago
More robust detection of motifs in coexpressed genes by using phylogenetic information
Background: Several motif detection algorithms have been developed to discover overrepresented motifs in sets of coexpressed genes. However, in a noisy gene list, the number of ge...
Pieter Monsieurs, Gert Thijs, Abeer A. Fadda, Sigr...
IJCINI
2007
125views more  IJCINI 2007»
14 years 11 months ago
A Unified Approach To Fractal Dimensions
The Cognitive Processes of Abstraction and Formal Inferences J. A. Anderson: A Brain-Like Computer for Cognitive Software Applications: the Resatz Brain Project L. Flax: Cognitive ...
Witold Kinsner
TSP
2008
115views more  TSP 2008»
14 years 11 months ago
Sinusoidal Modeling and Adaptive Channel Prediction in Mobile OFDM Systems
We propose a wireless fading channel prediction algorithm for a pilot-symbol aided Orthogonal Frequency Division Multiplexing (OFDM) system. Assuming a doubly selective (time and ...
Ian C. Wong, Brian L. Evans