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ICANN
2009
Springer
16 years 5 hour ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
173
Voted
MOBIDE
1999
ACM
15 years 11 months ago
DataSpace - Querying and Monitoring Deeply Networked Collections in Physical Space
In this article we introduce a new conception of three-dimensional DataSpace, which is physical space enhanced by connectivity to the network. DataSpace is addressed geographicall...
Tomasz Imielinski, Samir Goel
ESOP
2008
Springer
15 years 9 months ago
Semi-persistent Data Structures
A data structure is said to be persistent when any update operation returns a new structure without altering the old version. This paper introduces a new notion of persistence, cal...
Sylvain Conchon, Jean-Christophe Filliâtre
CSMR
2004
IEEE
15 years 11 months ago
A Distributed Architecture for Dynamic Analyses on User-Profile Data
Combining static and dynamic information is highly relevant in many reverse engineering, program comprehension and maintenance task. Dynamic analysis is particularly effective whe...
Giuliano Antoniol, Massimiliano Di Penta
JUCS
2010
179views more  JUCS 2010»
15 years 5 months ago
Ontology Visualization: Tools and Techniques for Visual Representation of Semi-Structured Meta-Data
: Ontologies are used to represent a variety of domain knowledge and data collections, scopes, viewpoints and linked heterogeneous information sources. They range from simple topol...
Monika Lanzenberger, Jennifer Sampson, Markus Rest...