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SIGIR
2006
ACM
15 years 5 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
CGF
2010
105views more  CGF 2010»
14 years 12 months ago
Streaming-Enabled Parallel Dataflow Architecture for Multicore Systems
We propose a new framework design for exploiting multi-core architectures in the context of visualization dataflow systems. Recent hardware advancements have greatly increased the...
Huy T. Vo, Daniel K. Osmari, Brian Summa, Jo&atild...
ESWS
2010
Springer
14 years 10 months ago
The Semantic Gap of Formalized Meaning
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Sebastian Hellmann
GLOBECOM
2010
IEEE
14 years 9 months ago
Cognitive Network Inference through Bayesian Network Analysis
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
Giorgio Quer, Hemanth Meenakshisundaram, Tamma Bhe...
CIKM
2008
Springer
15 years 1 months ago
SNIF TOOL: sniffing for patterns in continuous streams
Continuous time-series sequence matching, specifically, matching a numeric live stream against a set of predefined pattern sequences, is critical for domains ranging from fire spr...
Abhishek Mukherji, Elke A. Rundensteiner, David C....