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» Evaluating learning algorithms and classifiers
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89
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APIN
2008
124views more  APIN 2008»
15 years 21 days ago
Kernel price pattern trading
Abstract A new approach to algorithmic trading system development is presented. This approach, Kernel Price Pattern Trading (KPPTP ), allows the practitioner to link the performanc...
Alejandro Cañete, Jorge Constanzo, Luis Sal...
BMCBI
2010
150views more  BMCBI 2010»
15 years 21 days ago
Automatic structure classification of small proteins using random forest
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
Pooja Jain, Jonathan D. Hirst
76
Voted
JMLR
2010
93views more  JMLR 2010»
14 years 7 months ago
Erratum: SGDQN is Less Careful than Expected
The SGD-QN algorithm described in (Bordes et al., 2009) contains a subtle flaw that prevents it from reaching its design goals. Yet the flawed SGD-QN algorithm has worked well eno...
Antoine Bordes, Léon Bottou, Patrick Gallin...
90
Voted
IJCNN
2006
IEEE
15 years 6 months ago
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning
— We present a simple, intuitive argument based on “invariant imbedding” in the spirit of dynamic programming to derive a stagewise second-order backpropagation (BP) algorith...
Eiji Mizutani, Stuart Dreyfus
123
Voted
ACL
2010
14 years 10 months ago
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
Zornitsa Kozareva, Eduard H. Hovy