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SEMWEB
2009
Springer
15 years 7 months ago
An Ontology-based Data Matching Framework: use Case Competency-based HRM
As part of the European PROLIX (Process Oriented Learning and Information eXchange) project, VUB STARLab designed a generic ontologybased data matching framework (ODMF). Within the...
Peter De Baer, Yan Tang, Pieter De Leenheer
CJ
1998
118views more  CJ 1998»
15 years 26 days ago
Least-Squares Structuring, Clustering and Data Processing Issues
Approximation structuring clustering is an extension of what is usually called square-error clustering" onto various cluster structures and data formats. It appears to be not...
Boris Mirkin
IJON
2010
181views more  IJON 2010»
14 years 11 months ago
Active learning with extremely sparse labeled examples
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...
Shiliang Sun, David R. Hardoon
NAACL
2007
15 years 2 months ago
Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data
Collecting supervised training data for automatic speech recognition (ASR) systems is both time consuming and expensive. In this paper we use the notion of virtual evidence in a g...
Amarnag Subramanya, Jeff A. Bilmes
ICML
2009
IEEE
16 years 2 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou