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» Labeling Points with Weights
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85
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BMCBI
2007
178views more  BMCBI 2007»
15 years 19 days ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
99
Voted
ICML
2009
IEEE
16 years 1 months ago
Graph construction and b-matching for semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Tony Jebara, Jun Wang, Shih-Fu Chang
PODS
2008
ACM
211views Database» more  PODS 2008»
16 years 22 days ago
The power of two min-hashes for similarity search among hierarchical data objects
In this study we propose sketching algorithms for computing similarities between hierarchical data. Specifically, we look at data objects that are represented using leaf-labeled t...
Sreenivas Gollapudi, Rina Panigrahy
113
Voted
SPAA
2006
ACM
15 years 6 months ago
On space-stretch trade-offs: upper bounds
One of the fundamental trade-offs in compact routing schemes is between the space used to store the routing table on each node and the stretch factor of the routing scheme – th...
Ittai Abraham, Cyril Gavoille, Dahlia Malkhi
95
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AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
15 years 4 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman