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ICMLA
2007
15 years 6 months ago
Learning bayesian networks consistent with the optimal branching
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
Alexandra M. Carvalho, Arlindo L. Oliveira
LREC
2008
110views Education» more  LREC 2008»
15 years 6 months ago
Unsupervised and Domain Independent Ontology Learning: Combining Heterogeneous Sources of Evidence
Acquiring knowledge from the Web to build domain ontologies has become a common practice in the Ontological Engineering field. The vast amount of freely available information allo...
David Manzano-Macho, Asunción Gómez-...
ACE
2004
222views Education» more  ACE 2004»
15 years 6 months ago
Learning about Software Development - Should Programming Always Come First?
The issues surrounding curriculum design of many Computer Science and Software Engineering degree programs1 are many and complex. In particular, the question of whether prior prog...
Margaret Hamilton, Liz Haywood
NIPS
2004
15 years 6 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...
MS
2003
15 years 6 months ago
Information-theoretic Competitive Learning
— In this paper, we propose a new supervised learning method whereby information is controlled by the associated cost in an intermediate layer, and in an output layer, errors bet...
Ryotaro Kamimura