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NIPS
2008
13 years 8 months ago
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
Liu Yang, Rong Jin, Rahul Sukthankar
QSIC
2005
IEEE
14 years 28 days ago
Fault-Based Testing of Database Application Programs with Conceptual Data Model
Database application programs typically contain program units that use SQL statements to manipulate records in database instances. Testing the correctness of data manipulation by ...
W. K. Chan, S. C. Cheung, T. H. Tse
BIOINFORMATICS
2011
12 years 11 months ago
libfbi: a C++ implementation for fast box intersection and application to sparse mass spectrometry data
Abstract. This document is a preprint of the following publication: Bioinformatics (2011) 27(8): 1166-1167. Algorithms for sparse data require fast search and subset selection capa...
Marc Kirchner, Buote Xu, Hanno Steen, Judith A. J....
INFOCOM
2007
IEEE
14 years 1 months ago
Optimal Policies for Distributed Data Aggregation in Wireless Sensor Networks
Abstract— We consider the scenario of distributed data aggregation in wireless sensor networks, where each sensor can obtain and estimate the information of the whole sensing fi...
Zhenzhen Ye, Alhussein A. Abouzeid, Jing Ai
IDEAL
2009
Springer
14 years 1 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin