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» An Optimization Algorithm Based on Active and Instance-Based...
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114
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GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 1 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
132
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NPL
2006
172views more  NPL 2006»
15 years 23 days ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou
115
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MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 6 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 6 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
263
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EOR
2007
364views more  EOR 2007»
15 years 19 days ago
Heuristics for the mirrored traveling tournament problem
Professional sports leagues are a major economic activity around the world. Teams and leagues do not want to waste their investments in players and structure in consequence of poo...
Celso C. Ribeiro, Sebastián Urrutia