Sciweavers

509 search results - page 92 / 102
» Using Learning for Approximation in Stochastic Processes
Sort
View
ML
2002
ACM
220views Machine Learning» more  ML 2002»
13 years 7 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
KCAP
2005
ACM
14 years 28 days ago
OLA in the OAEI 2005 Alignment Contest
Among the variety of alignment approaches (e.g., using machine learning, subsumption computation, formal concept analysis, etc.) similarity-based ones rely on a quantitative asses...
Jérôme Euzenat, Philippe Guéga...
COMCOM
2008
127views more  COMCOM 2008»
13 years 7 months ago
A dynamic routing protocol for keyword search in unstructured peer-to-peer networks
The idea of building query-oriented routing indices has changed the way of improving keyword search efficiency from the basis as it can learn the content distribution from the que...
Cong Shi, Dingyi Han, Yuanjie Liu, Shicong Meng, Y...
ICA
2012
Springer
12 years 3 months ago
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
Anh Huy Phan, Andrzej Cichocki, Petr Tichavsk&yacu...
CHI
2009
ACM
14 years 8 months ago
Predicting query reformulation during web searching
This paper reports results from a study in which we automatically classified the query reformulation patterns for 964,780 Web searching sessions (composed of 1,523,072 queries) in...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink