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» A Theory for Memory-Based Learning
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GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 7 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
SIGMOD
2010
ACM
224views Database» more  SIGMOD 2010»
15 years 6 months ago
GDR: a system for guided data repair
Improving data quality is a time-consuming, labor-intensive and often domain specific operation. Existing data repair approaches are either fully automated or not efficient in int...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...
COGSCI
2010
103views more  COGSCI 2010»
15 years 6 months ago
A Computational Account of the Development of the Generalization of Shape Information
Abecassis, Sera, Yonas, and Schwade (2001) have shown that young children represent shapes more metrically, and perhaps more holistically, than do older children and adults. How d...
Leonidas A. A. Doumas, John E. Hummel
IDA
2008
Springer
15 years 6 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
JMLR
2006
103views more  JMLR 2006»
15 years 6 months ago
Pattern Recognition for Conditionally Independent Data
In this work we consider the task of relaxing the i.i.d. assumption in pattern recognition (or classification), aiming to make existing learning algorithms applicable to a wider r...
Daniil Ryabko