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» Prediction on Spike Data Using Kernel Algorithms
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CVPR
2011
IEEE
14 years 5 months ago
From Region Similarity to Category Discovery
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
Carolina Galleguillos, Brian McFee, Serge Belongie...
BMCBI
2008
124views more  BMCBI 2008»
14 years 9 months ago
Inferring modules of functionally interacting proteins using the Bond Energy Algorithm
Background: Non-homology based methods such as phylogenetic profiles are effective for predicting functional relationships between proteins with no considerable sequence or struct...
Ryosuke Watanabe, Enrique Morett, Edgar E. Vallejo
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
15 years 10 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
ESANN
2008
14 years 11 months ago
Selection of important input variables for RBF network using partial derivatives
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
Jarkko Tikka, Jaakko Hollmén
AIR
2000
91views more  AIR 2000»
14 years 9 months ago
PlanMine: Predicting Plan Failures Using Sequence Mining
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because p...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara