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ECML
1993
Springer
13 years 10 months ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman
GBRPR
2005
Springer
13 years 11 months ago
Approximating the Problem, not the Solution: An Alternative View of Point Set Matching
This work discusses the issue of approximation in point set matching problems. In general, one may have two classes of approximations when tackling a matching problem: a representa...
Tibério S. Caetano, Terry Caelli
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
13 years 11 months ago
Important moments in systems, control and optimization
— The moment problem matured from its various special forms in the late 19th and early 20th Centuries to a general class of problems that continues to exert profound influence o...
Christopher I. Byrnes, Anders Lindquist
EDBT
2000
ACM
13 years 9 months ago
Management and Query Processing of One-Dimensional Intervals with the UB-Tree
The management and query processing of one dimensional intervals is a special case of extended object handling. One dimensional intervals play an important role in temporal databa...
Robert Fenk
IJON
2010
152views more  IJON 2010»
13 years 4 months ago
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...
Kerstin Bunte, Barbara Hammer, Axel Wismüller...