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» Method of Motion Data Processing Based on Manifold Learning
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104
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PAMI
2006
147views more  PAMI 2006»
15 years 2 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
124
Voted
NAACL
2007
15 years 4 months ago
Unsupervised Natural Language Processing Using Graph Models
In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevai...
Chris Biemann
157
Voted
TAL
2010
Springer
15 years 18 days ago
Passage Retrieval in Log Files: An Approach Based on Query Enrichment
Abstract. The question answering systems are considered the next generation of search engines. This paper focuses on the first step of this process, which is to search for relevant...
Hassan Saneifar, Stéphane Bonniol, Anne Lau...
131
Voted
XPU
2004
Springer
15 years 8 months ago
Self-Adaptability of Agile Software Processes: A Case Study on Post-iteration Workshops
None of the agile methods are claimed to fit all development situations. A team should attempt to adapt the methods and practices to fit their specific needs. For that reason agile...
Outi Salo, Kari Kolehmainen, Pekka Kyllönen, ...
154
Voted
TSP
2008
167views more  TSP 2008»
15 years 1 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...