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» Convex Factorization Machines
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79
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EWRL
2008
15 years 2 months ago
Exploiting Additive Structure in Factored MDPs for Reinforcement Learning
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
IJON
2007
184views more  IJON 2007»
15 years 7 days ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
118
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JMLR
2010
143views more  JMLR 2010»
14 years 10 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
ESANN
2007
15 years 1 months ago
Deploying SDP for machine learning
We discuss the use in machine learning of a general type of convex optimisation problem known as semi-definite programming (SDP) [1]. We intend to argue that SDP’s arise quite n...
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