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SIGIR
2006
ACM
13 years 11 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
BROADNETS
2005
IEEE
13 years 11 months ago
A Lightweight framework for source-to-sink data transfer in wireless sensor networks
— Lightweight protocols that are both bandwidth and power thrifty are desirable for sensor networks. In addition, for many sensor network applications, timeliness of data deliver...
James Jobin, Zhenqiang Ye, Honomount Rawat, Srikan...
RPTEL
2006
75views more  RPTEL 2006»
13 years 5 months ago
A Qualitative Analysis of Collaborative Knowledge Construction through Shared Representations
This paper takes one step towards addressing the question of how activity mediated by shared representations--notations that are manipulated by more than one person during a collab...
Daniel D. Suthers
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 6 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
PPOPP
2010
ACM
14 years 19 days ago
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...