249 search results - page 29 / 50 » MALEF: Framework for distributed machine learning and data m... |
NIPS
2008
13 years 8 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
ICDE
2012
IEEE
11 years 9 months ago
2012
IEEE
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
WSDM
2012
ACM
12 years 2 months ago
2012
ACM
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
SAC
2010
ACM
13 years 1 months ago
2010
ACM
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...