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SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
14 years 7 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
DATAMINE
2010
161views more  DATAMINE 2010»
13 years 4 months ago
Predicting labels for dyadic data
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
Aditya Krishna Menon, Charles Elkan
BIBE
2006
IEEE
137views Bioinformatics» more  BIBE 2006»
14 years 1 months ago
Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition
We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
Lothar Richter, Stefan Hechtl, Stefan Kramer
WWW
2005
ACM
14 years 8 months ago
Analysis of topic dynamics in web search
We report on a study of topic dynamics for pages visited by a sample of people using MSN Search. We examine the predictive accuracies of probabilistic models of topic transitions ...
Xuehua Shen, Susan T. Dumais, Eric Horvitz
IR
2006
13 years 7 months ago
A study of mixture models for collaborative filtering
Collaborative filtering is a general technique for exploiting the preference patterns of a group of users to predict the utility of items for a particular user. Three different co...
Rong Jin, Luo Si, Chengxiang Zhai