Sciweavers

1263 search results - page 65 / 253
» Kernel methods for learning languages
Sort
View
CVPR
2010
IEEE
13 years 7 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang
ACL
2009
13 years 7 months ago
Profile Based Cross-Document Coreference Using Kernelized Fuzzy Relational Clustering
Coreferencing entities across documents in a large corpus enables advanced document understanding tasks such as question answering. This paper presents a novel cross document core...
Jian Huang 0002, Sarah M. Taylor, Jonathan L. Smit...
ACL
2007
13 years 10 months ago
Learning Multilingual Subjective Language via Cross-Lingual Projections
This paper explores methods for generating subjectivity analysis resources in a new language by leveraging on the tools and resources available in English. Given a bridge between ...
Rada Mihalcea, Carmen Banea, Janyce Wiebe
IJCNN
2007
IEEE
14 years 3 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
NIPS
2008
13 years 10 months ago
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung