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CORR
2012
Springer
183views Education» more  CORR 2012»
14 years 2 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar

Publication
303views
14 years 4 months ago
Evolutionary synthesis of analog networks
he significant increase in the available computational power that took place in recent decades has been accompanied by a growing interest in the application of the evolutionary ap...
Claudio Mattiussi
ICML
2006
IEEE
16 years 7 months ago
How boosting the margin can also boost classifier complexity
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
Lev Reyzin, Robert E. Schapire
IROS
2007
IEEE
124views Robotics» more  IROS 2007»
16 years 28 days ago
Vocal imitation using physical vocal tract model
— A vocal imitation system was developed using a computational model that supports the motor theory of speech perception. A critical problem in vocal imitation is how to generate...
Hisashi Kanda, Tetsuya Ogata, Kazunori Komatani, H...
ALIFE
2008
15 years 6 months ago
Natural Selection in Relation to Complexity
, reproductive value, soft selectionAbstract Structural complexity characterizes our representations of dissipative structures. As a mechanistic concept, when referred to natural s...
Stanley N. Salthe