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» Prediction on Spike Data Using Kernel Algorithms
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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
14 years 9 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
ICPP
1993
IEEE
14 years 1 months ago
Scalability Study of the KSR-1
Scalability of parallel architectures is an interesting area of current research. Shared memory parallel programming is attractive stemming from its relative ease in transitioning...
Umakishore Ramachandran, Gautam Shah, Ravi Kumar, ...
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 9 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
SISAP
2009
IEEE
155views Data Mining» more  SISAP 2009»
14 years 3 months ago
Analyzing Metric Space Indexes: What For?
—It has been a long way since the beginnings of metric space searching, where people coming from algorithmics tried to apply their background to this new paradigm, obtaining vari...
Gonzalo Navarro
BMCBI
2008
108views more  BMCBI 2008»
13 years 9 months ago
Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks
Background: High throughput signature sequencing holds many promises, one of which is the ready identification of in vivo transcription factor binding sites, histone modifications...
David A. Nix, Samir J. Courdy, Kenneth M. Boucher