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ICML
2004
IEEE
16 years 7 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
16 years 7 months ago
Very sparse random projections
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
Ping Li, Trevor Hastie, Kenneth Ward Church
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 7 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
RECOMB
2006
Springer
16 years 6 months ago
A Sublinear-Time Randomized Approximation Scheme for the Robinson-Foulds Metric
The Robinson-Foulds (RF) metric is the measure most widely used in comparing phylogenetic trees; it can be computed in linear time using Day's algorithm. When faced with the n...
Nicholas D. Pattengale, Bernard M. E. Moret
STOC
2002
ACM
152views Algorithms» more  STOC 2002»
16 years 6 months ago
Universally composable two-party and multi-party secure computation
d Abstract) Ran Canetti Yehuda Lindell Rafail Ostrovsky Amit Sahai? We show how to securely realize any multi-party functionality in a universally composable way, regardless of th...
Ran Canetti, Yehuda Lindell, Rafail Ostrovsky, Ami...