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KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 4 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
16 years 4 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
CHI
2004
ACM
16 years 4 months ago
Older adults and web usability: is web experience the same as web expertise?
Level of Web experience is often a factor for which researchers attempt to control while conducting experimental studies on Web usability. It is typically measured by some means o...
Ann Chadwick-Dias, Donna P. Tedesco, Thomas S. Tul...
POPL
2008
ACM
16 years 4 months ago
Relevance heuristics for program analysis
Relevance heuristics allow us to tailor a program analysis to a particular property to be verified. This in turn makes it possible to improve the precision of the analysis where n...
Kenneth L. McMillan
STOC
2005
ACM
156views Algorithms» more  STOC 2005»
16 years 4 months ago
Convex programming for scheduling unrelated parallel machines
We consider the classical problem of scheduling parallel unrelated machines. Each job is to be processed by exactly one machine. Processing job j on machine i requires time pij . ...
Yossi Azar, Amir Epstein
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