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» Objective reduction using a feature selection technique
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ISMIR
2005
Springer
196views Music» more  ISMIR 2005»
14 years 3 months ago
ACE: A Framework for Optimizing Music Classification
This paper presents ACE (Autonomous Classification Engine), a framework for using and optimizing classifiers. Given a set of feature vectors, ACE experiments with a variety of cla...
Cory McKay, Rebecca Fiebrink, Daniel McEnnis, Bein...
GECCO
2010
Springer
162views Optimization» more  GECCO 2010»
14 years 2 months ago
Heuristics for sampling repetitions in noisy landscapes with fitness caching
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
Forrest Stonedahl, Susa H. Stonedahl
LWA
2007
13 years 11 months ago
Towards Learning User-Adaptive State Models in a Conversational Recommender System
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
Tariq Mahmood, Francesco Ricci
ICANN
2005
Springer
14 years 3 months 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
3DIM
1997
IEEE
14 years 1 months ago
Frequency Domain Estimation of 3-D Rigid Motion Based on Range and Intensity Data
Video-rate registered range and intensity data are at reach of current sensor technology. This wealth of data can be pro tably exploited in order to estimate rigid motion paramete...
Luca Lucchese, Gianfranco Doretto, Guido M. Cortel...