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ESANN
2008
15 years 5 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
ML
1998
ACM
131views Machine Learning» more  ML 1998»
15 years 3 months ago
Learning from Examples and Membership Queries with Structured Determinations
It is well known that prior knowledge or bias can speed up learning, at least in theory. It has proved di cult to make constructive use of prior knowledge, so that approximately c...
Prasad Tadepalli, Stuart J. Russell
SI3D
2010
ACM
15 years 4 months ago
Efficient irradiance normal mapping
Irradiance normal mapping is a method to combine two popular techniques, light mapping and normal mapping, and is used in games such as Half-Life 2 or Halo 3. This combination all...
Ralf Habel, Michael Wimmer
BMCBI
2007
127views more  BMCBI 2007»
15 years 4 months ago
Characterization of protein-interaction networks in tumors
Background: Analyzing differential-gene-expression data in the context of protein-interaction networks (PINs) yields information on the functional cellular status. PINs can be for...
Alexander Platzer, Paul Perco, Arno Lukas, Bernd M...
DEXA
2010
Springer
182views Database» more  DEXA 2010»
15 years 4 months ago
Minimum Spanning Tree on Spatio-Temporal Networks
Given a spatio-temporal network (ST network) whose edge properties vary with time, a time-sub-interval minimum spanning tree (TSMST) is a collection of distinct minimum spanning t...
Viswanath Gunturi, Shashi Shekhar, Arnab Bhattacha...