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» Prediction on Spike Data Using Kernel Algorithms
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JMLR
2006
99views more  JMLR 2006»
13 years 9 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
RECSYS
2009
ACM
14 years 3 months ago
Context-based splitting of item ratings in collaborative filtering
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
Linas Baltrunas, Francesco Ricci
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 9 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
CEC
2007
IEEE
14 years 1 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...
COMPENG
2010
259views Algorithms» more  COMPENG 2010»
14 years 1 months ago
Propagation of Load Shed in Cascading Line Outages Simulated by OPA
We estimate with a branching process model the propagation of load shed and the probability distribution of load shed in simulated blackouts of an electric power system. The avera...
Janghoon Kim, Ian Dobson