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NIPS
2003
15 years 8 months ago
Error Bounds for Transductive Learning via Compression and Clustering
This paper is concerned with transductive learning. Although transduction appears to be an easier task than induction, there have not been many provably useful algorithms and boun...
Philip Derbeko, Ran El-Yaniv, Ron Meir
189
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BMVC
1998
15 years 8 months ago
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Norbert Krüger, Niklas Lüdtke
NIPS
2000
15 years 8 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
CORR
2010
Springer
88views Education» more  CORR 2010»
15 years 6 months ago
A fuzzified BRAIN algorithm for learning DNF from incomplete data
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
Salvatore Rampone, Ciro Russo
ICWL
2010
Springer
15 years 4 months ago
Cross-Cultural Multimedia Language Learning: Case Study and Analysis
Abstract. This paper describes a pedagogical pattern for cross-cultural language learning and its application in a case study involving learners in Australia and China. The pattern...
Carsten Ullrich, Kerstin Borau, Scott Grant, Danie...