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KDD
2002
ACM
113views Data Mining» more  KDD 2002»
16 years 6 months ago
Scalable robust covariance and correlation estimates for data mining
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...
STOC
2007
ACM
127views Algorithms» more  STOC 2007»
16 years 6 months ago
First to market is not everything: an analysis of preferential attachment with fitness
The design of algorithms on complex networks, such as routing, ranking or recommendation algorithms, requires a detailed understanding of the growth characteristics of the network...
Christian Borgs, Jennifer T. Chayes, Constantinos ...
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
16 years 6 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
OSDI
2006
ACM
16 years 6 months ago
From Uncertainty to Belief: Inferring the Specification Within
Automatic tools for finding software errors require a set of specifications before they can check code: if they do not know what to check, they cannot find bugs. This paper presen...
Ted Kremenek, Paul Twohey, Godmar Back, Andrew Y. ...
ALT
2005
Springer
16 years 3 months ago
Gold-Style and Query Learning Under Various Constraints on the Target Class
In language learning, strong relationships between Gold-style models and query models have recently been observed: in some quite general setting Gold-style learners can be replaced...
Sanjay Jain, Steffen Lange, Sandra Zilles