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JMLR
2012
13 years 2 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
JBCS
2010
89views more  JBCS 2010»
14 years 6 months ago
Multicoordinated agreement for groups of agents
Agents in agreement protocols play well distinct roles. Proposers propose values to the acceptors, which will accept proposals and inform the learners so they detect that an agree...
Lásaro J. Camargos, Rodrigo Schmidt, Edmund...
AINA
2010
IEEE
15 years 5 months ago
Grid of Segment Trees for Packet Classification
—Packet classification problem has received much attention and continued to be an important topic in recent years. In packet classification problem, each incoming packet should b...
Yeim-Kuan Chang, Yung-Chieh Lin, Chen-Yu Lin
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 4 months ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
15 years 4 months ago
Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
Zachary A. Pardos, Matthew D. Dailey, Neil T. Heff...
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