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ICML
2005
IEEE
16 years 7 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky
WWW
2004
ACM
16 years 7 months ago
Parsing owl dl: trees or triples?
The Web Ontology Language (OWL) defines three classes of documents: Lite, DL and Full. All RDF/XML documents are OWL Full documents, some OWL Full documents are also OWL DL docume...
Sean Bechhofer, Jeremy J. Carroll
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 7 months ago
Frequent pattern mining with uncertain data
In this paper, we will examine the frequent pattern mining for uncertain data sets. We will show how the broad classes of algorithms can be extended to the uncertain data setting....
Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wan...
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 7 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002
299
Voted
POPL
2002
ACM
16 years 7 months ago
Functional logic overloading
Functional logic overloading is a novel approach to userdefined overloading that extends Haskell's concept of type classes in significant ways. Whereas type classes are conce...
Matthias Neubauer, Peter Thiemann, Martin Gasbichl...