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» A Kernel Approach to Comparing Distributions
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ACL
2006
13 years 8 months ago
Using String-Kernels for Learning Semantic Parsers
We present a new approach for mapping natural language sentences to their formal meaning representations using stringkernel-based classifiers. Our system learns these classifiers ...
Rohit J. Kate, Raymond J. Mooney
NIPS
2008
13 years 8 months ago
Kernel Measures of Independence for non-iid Data
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
IJCNN
2007
IEEE
14 years 1 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
HPDC
2006
IEEE
14 years 1 months ago
Peer to peer size estimation in large and dynamic networks: A comparative study
As the size of distributed systems keeps growing, the peer to peer communication paradigm has been identified as the key to scalability. Peer to peer overlay networks are charact...
Erwan Le Merrer, Anne-Marie Kermarrec, Laurent Mas...
GI
1998
Springer
13 years 11 months ago
Business Object Facilities - A Comparative Analysis
Rapidlychanging business processes require quick adaption of supportinginformationsystems. Component technologies in general and business objects, in particular seem a promising a...
Wolfgang Emmerich, Ernst Ellmer, Birgit Osterholt,...