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» Predictive Hebbian Learning
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IJCAI
1989
15 years 4 months ago
An Empirical Comparison of ID3 and Back-propagation
AI and connectionist approaches to learning from examples differ in knowledge-base representation and inductive mechanisms. To explore these differences we experiment with a syste...
Douglas H. Fisher, Kathleen B. McKusick
APIN
2008
124views more  APIN 2008»
15 years 3 months 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...
191
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BMCBI
2010
150views more  BMCBI 2010»
15 years 3 months 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
CORR
2006
Springer
178views Education» more  CORR 2006»
15 years 3 months ago
Low-rank matrix factorization with attributes
We develop a new collaborative filtering (CF) method that combines both previously known users' preferences, i.e. standard CF, as well as product/user attributes, i.e. classi...
Jacob Abernethy, Francis Bach, Theodoros Evgeniou,...
CORR
2007
Springer
141views Education» more  CORR 2007»
15 years 3 months ago
Bootstrapping Deep Lexical Resources: Resources for Courses
We propose a range of deep lexical acquisition methods which make use of morphological, syntactic and ontological language resources to model word similarity and bootstrap from a ...
Timothy Baldwin