Sciweavers

SAC
2002
ACM
13 years 3 months ago
Hyperrelations in version space
A version space is a set of all hypotheses consistent with a given set of training examples, delimited by the specific boundary and the general boundary. In existing studies [5, 6...
Hui Wang, Ivo Düntsch, Günther Gediga, A...
AI
2004
Springer
13 years 3 months ago
Version spaces and the consistency problem
A version space is a collection of concepts consistent with a given set of positive and negative examples. Mitchell [Mit82] proposed representing a version space by its boundary s...
Haym Hirsh, Nina Mishra, Leonard Pitt
KDID
2003
119views Database» more  KDID 2003»
13 years 5 months ago
Generalized Version Space Trees
We introduce generalized version space trees, a novel data structure that serves as a condensed representation in inductive databases for graph mining. Generalized version space tr...
Ulrich Rückert, Stefan Kramer
IJCAI
2007
13 years 5 months ago
Occam's Razor Just Got Sharper
Occam’s razor is the principle that, given two hypotheses consistent with the observed data, the simpler one should be preferred. Many machine learning algorithms follow this pr...
Saher Esmeir, Shaul Markovitch
RSFDGRC
1999
Springer
135views Data Mining» more  RSFDGRC 1999»
13 years 8 months ago
The Iterated Version Space Learning
Inspired with Version Space learning, the Iterated Version Space Algorithm (IVSA) has been designed and implemented to learn disjunctive concepts. IVSA dynamically partitions its s...
Jianna Jian Zhang, Nick Cercone
ICDM
2003
IEEE
135views Data Mining» more  ICDM 2003»
13 years 9 months ago
An Algorithm for the Exact Computation of the Centroid of Higher Dimensional Polyhedra and its Application to Kernel Machines
The Support Vector Machine (SVM) solution corresponds to the centre of the largest sphere inscribed in version space. Alternative approaches like Bayesian Point Machines (BPM) and...
Frédéric Maire
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
13 years 9 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...