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» Incremental Knowledge Acquisition with Selective Active Lear...
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IJHIS
2008
84views more  IJHIS 2008»
15 years 1 months ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
WWW
2007
ACM
16 years 2 months ago
Acquiring ontological knowledge from query logs
We present a method for acquiring ontological knowledge using search query logs. We first use query logs to identify important contexts associated with terms belonging to a semant...
Satoshi Sekine, Hisami Suzuki
90
Voted
IJKL
2008
106views more  IJKL 2008»
15 years 1 months ago
Activity- and taxonomy-based knowledge representation framework
: Elaborations of Competence-based Knowledge Space Theory (CbKST) incorporate skills that refer to the conceptual information of the domain as well as to the activities learners ar...
Birgit Marte, Christina M. Steiner, Jürgen He...
MIR
2005
ACM
198views Multimedia» more  MIR 2005»
15 years 7 months ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang
118
Voted
HIS
2007
15 years 3 months ago
Active Selection of Training Examples for Meta-Learning
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...