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MICAI
2007
Springer
14 years 1 months ago
Weighted Instance-Based Learning Using Representative Intervals
Instance-based learning algorithms are widely used due to their capacity to approximate complex target functions; however, the performance of this kind of algorithms degrades signi...
Octavio Gómez, Eduardo F. Morales, Jes&uacu...
COLING
2000
13 years 9 months ago
A Method of Measuring Term Representativeness - Baseline Method Using Co-occurrence Distribution
This paper introduces a scheme, which we call the baseline method, to define a measure of term representativeness and measures defined by using the scheme. The representativeness ...
Toru Hisamitsu, Yoshiki Niwa, Jun-ichi Tsujii
JMIV
2006
124views more  JMIV 2006»
13 years 7 months ago
Segmentation of a Vector Field: Dominant Parameter and Shape Optimization
Vector field segmentation methods usually belong to either of three classes: methods which segment regions homogeneous in direction and/or norm, methods which detect discontinuiti...
Tristan Roy, Eric Debreuve, Michel Barlaud, Gilles...
CIKM
2008
Springer
13 years 9 months ago
Representative entry selection for profiling blogs
Many applications on blog search and mining often meet the challenge of handling huge volume of blog data, in which one single blog could contain hundreds or even thousands of ent...
Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun, Rong ...
ICSEA
2006
IEEE
14 years 1 months ago
Testing a Network by Inferring Representative State Machines from Network Traces
— This paper describes an innovative approach to network testing based on automatically generating and analyzing state machine models of network behavior. The models are generate...
Nancy D. Griffeth, Yuri Cantor, Constantinos Djouv...