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ICANN
2005
Springer
16 years 3 days ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
IUI
2003
ACM
15 years 12 months ago
Lessons learned in modeling schizophrenic and depressed responsive virtual humans for training
This paper describes lessons learned in developing the linguistic, cognitive, emotional, and gestural models underlying virtual human behavior in a training application designed t...
Robert C. Hubal, Geoffrey A. Frank, Curry I. Guinn
VMV
2003
174views Visualization» more  VMV 2003»
15 years 8 months ago
Interactive Visualization of Large Finite Element Models
198 Triangles Std. Wire Frame 2 Triangles 32×32 Texture Finite element models used in crash worthiness simulations now contain more than one million mostly quadrilateral elements...
Dirc Rose, Thomas Ertl
BMCBI
2010
117views more  BMCBI 2010»
15 years 6 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski
ENTCS
2008
103views more  ENTCS 2008»
15 years 6 months ago
Distributed Markovian Bisimulation Reduction aimed at CSL Model Checking
The verification of quantitative aspects like performance and dependability by means of model checking has become an important and vivid area of research over the past decade. An ...
Stefan Blom, Boudewijn R. Haverkort, Matthias Kunt...