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ICCV
2003
IEEE
15 years 9 days ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
COLING
2010
13 years 5 months ago
A Vector Space Model for Subjectivity Classification in Urdu aided by Co-Training
The goal of this work is to produce a classifier that can distinguish subjective sentences from objective sentences for the Urdu language. The amount of labeled data required for ...
Smruthi Mukund, Rohini K. Srihari
LFCS
2009
Springer
14 years 5 months ago
A Labeled Natural Deduction System for a Fragment of CTL*
We give a sound and complete labeled natural deduction system for an interesting fragment of CTL∗ , namely the until-free version of BCTL∗ . The logic BCTL∗ is obtained by re...
Andrea Masini, Luca Viganò, Marco Volpe
SDM
2007
SIAM
108views Data Mining» more  SDM 2007»
13 years 11 months ago
Semi-Supervised Dimensionality Reduction
Dimensionality reduction is among the keys in mining highdimensional data. This paper studies semi-supervised dimensionality reduction. In this setting, besides abundant unlabeled...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
ACSC
2005
IEEE
14 years 4 months ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie