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» Prediction on Spike Data Using Kernel Algorithms
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ICML
2010
IEEE
13 years 10 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
IWNAS
2008
IEEE
14 years 4 months ago
Storage Aware Resource Allocation for Grid Data Streaming Pipelines
Data streaming applications, usually composed with sequential/parallel tasks in a data pipeline form, bring new challenges to task scheduling and resource allocation in grid envir...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...
BMCBI
2010
140views more  BMCBI 2010»
13 years 9 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
KDD
1995
ACM
248views Data Mining» more  KDD 1995»
14 years 1 months ago
Data Mining for Loan Evaluation at ABN AMRO: A Case Study
Wedescribe a case study in data miningfor personal loan evaluation, performed at the ABNAMRObank in the Netherlands. Historical data of clients and their pay-backbehaviourare used...
A. J. Feelders, A. J. F. le Loux, J. W. van't Zand
CHI
2006
ACM
14 years 10 months ago
Using intelligent task routing and contribution review to help communities build artifacts of lasting value
Many online communities are emerging that, like Wikipedia, bring people together to build community-maintained artifacts of lasting value (CALVs). Motivating people to contribute ...
Dan Cosley, Dan Frankowski, Loren G. Terveen, John...