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ICFP
2009
ACM
16 years 6 months ago
Parallel concurrent ML
Concurrent ML (CML) is a high-level message-passing language that supports the construction of first-class synchronous abstractions called events. This mechanism has proven quite ...
John H. Reppy, Claudio V. Russo, Yingqi Xiao
SIGECOM
2008
ACM
188views ECommerce» more  SIGECOM 2008»
15 years 5 months ago
Predicting trusts among users of online communities: an epinions case study
Trust between a pair of users is an important piece of information for users in an online community (such as electronic commerce websites and product review websites) where users ...
Haifeng Liu, Ee-Peng Lim, Hady Wirawan Lauw, Minh-...
BMCBI
2004
144views more  BMCBI 2004»
15 years 5 months ago
GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes
Background: The function of a novel gene product is typically predicted by transitive assignment of annotation from similar sequences. We describe a novel method, GOtcha, for pred...
David M. A. Martin, Matthew Berriman, Geoffrey J. ...
SIGIR
2006
ACM
15 years 12 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 6 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales