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ICDT
2011
ACM
270views Database» more  ICDT 2011»
14 years 10 months ago
On the equivalence of distributed systems with queries and communication
Distributed data management systems consist of peers that store, exchange and process data in order to collaboratively achieve a common goal, such as evaluate some query. We study...
Serge Abiteboul, Balder ten Cate, Yannis Katsis
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 9 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
ICCV
2011
IEEE
14 years 6 months ago
RECON: Scale-Adaptive Robust Estimation via Residual Consensus
In this paper, we present a novel, threshold-free robust estimation framework capable of efficiently fitting models to contaminated data. While RANSAC and its many variants have...
Rahul Raguram, Jan-Michael Frahm
EMNLP
2011
14 years 6 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
BIS
2008
134views Business» more  BIS 2008»
15 years 8 months ago
Trustlet, Open Research on Trust Metrics
A trust metric is a technique for predicting how much a user of a social network might trust another user. This is especially beneficial in situations where most users are unknown ...
Paolo Massa, Kasper Souren
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