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» Information complexity of neural networks
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EXACT
2009
15 years 4 months ago
Towards the Explanation of Workflows
Across many fields involving complex computing, software systems are being augmented with workflow logging functionality. The log data can be effectively organized using declarativ...
James Michaelis, Li Ding, Deborah L. McGuinness
ICML
2007
IEEE
16 years 7 months ago
Learning to rank: from pairwise approach to listwise approach
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Han...
IWANN
2009
Springer
16 years 27 days ago
Identifying Gene Ontology Areas for Automated Enrichment
Biomedical ontologies provide a commonly accepted scheme for the characterization of biological concepts that enable knowledge sharing and integration. Updating and maintaining an ...
Catia Pesquita, Tiago Grego, Francisco M. Couto
ICPP
2008
IEEE
16 years 24 days ago
Machine Learning Models to Predict Performance of Computer System Design Alternatives
Computer manufacturers spend a huge amount of time, resources, and money in designing new systems and newer configurations, and their ability to reduce costs, charge competitive p...
Berkin Özisikyilmaz, Gokhan Memik, Alok N. Ch...
DMIN
2006
126views Data Mining» more  DMIN 2006»
15 years 7 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...