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IJCNN
2006
IEEE
14 years 2 months ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho
LREC
2010
164views Education» more  LREC 2010»
13 years 9 months ago
Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources
The paper presents an innovative approach to extract Slovene definition candidates from domain-specific corpora using morphosyntactic patterns, automatic terminology recognition a...
Darja Fiser, Senja Pollak, Spela Vintar
PUC
2006
133views more  PUC 2006»
13 years 8 months ago
Reality mining: sensing complex social systems
We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months. We demonstrate the ability to use standard Bluetoot...
Nathan Eagle, Alex Pentland
ADAEUROPE
2010
Springer
13 years 6 months ago
Towards the Definition of a Pattern Sequence for Real-Time Applications Using a Model-Driven Engineering Approach
Real-Time (RT) systems exhibit specific characteristics that make them particularly sensitive to architectural decissions. Design patterns help integrating the desired timing behav...
Juan A. Pastor, Diego Alonso, Pedro Sánchez...
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
14 years 2 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...