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» Learning in Parallel Universes
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WWW
2011
ACM
14 years 4 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
ACL
2001
14 years 11 months ago
Extracting Paraphrases from a Parallel Corpus
While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. We present ...
Regina Barzilay, Kathleen McKeown
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 2 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
ICPADS
2008
IEEE
15 years 4 months ago
Adapting Experiments of Embedded System Curriculum Designed Based on Embedded IA to Atom
As the rapidly development of embedded systems, it is a challenge for universities to fill the gap between education and industry. In this paper, we introduce the experiment desig...
Wei Hu, Nick Bao, Like Yan, Tianzhou Chen, Qingson...
IPPS
1998
IEEE
15 years 2 months ago
NoWait-RPC: Extending ONC RPC to a Fully Compatible Message Passing System
Locally and functionally distributed applications realized on different system architectures demand a universal, portable and intuitive software utility for interprocess communica...
Thomas Hopfner, Franz Fischer, Georg Färber