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ECML
1997
Springer
13 years 9 months ago
Constructing Intermediate Concepts by Decomposition of Real Functions
In learning from examples it is often useful to expand an attribute-vector representation by intermediate concepts. The usual advantage of such structuring of the learning problemi...
Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Brat...
AI
1999
Springer
13 years 4 months ago
Learning by Discovering Concept Hierarchies
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...
INFORMATICASI
1998
122views more  INFORMATICASI 1998»
13 years 4 months ago
Experimental Evaluation of Three Partition Selection Criteria for Decision Table Decomposition
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover d...
Blaz Zupan, Marko Bohanec
TYPES
2000
Springer
13 years 8 months ago
A Tour with Constructive Real Numbers
Abstract. The aim of this work is to characterize constructive real numbers through a minimal axiomatization. We introduce, discuss and justify 16 constructive axioms. Then we addr...
Alberto Ciaffaglione, Pietro Di Gianantonio
CVPR
2011
IEEE
13 years 1 months ago
Multi-Level Inference by Relaxed Dual Decomposition for Human Pose Segmentation
Combining information from the higher level and the lower level has long been recognized as an essential component in holistic image understanding. However, an efficient inferenc...
Huayan Wang, Daphne Koller