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» Formalization of Continuous Probability Distributions
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BMCBI
2004
208views more  BMCBI 2004»
13 years 4 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
WWW
2004
ACM
14 years 5 months ago
Newsjunkie: providing personalized newsfeeds via analysis of information novelty
We present a principled methodology for filtering news stories by formal measures of information novelty, and show how the techniques can be used to custom-tailor newsfeeds based ...
Evgeniy Gabrilovich, Susan T. Dumais, Eric Horvitz
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 5 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
PODS
2008
ACM
159views Database» more  PODS 2008»
14 years 5 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
SIGMETRICS
2006
ACM
13 years 11 months ago
Robust network connectivity: when it's the big picture that matters
This work analyzes the connectivity of large diameter networks where every link has an independent probability p of failure. We give a (relatively simple) topological condition th...
Enoch Peserico, Larry Rudolph