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IJAR
2011
86views more  IJAR 2011»
12 years 11 months ago
On open questions in the geometric approach to structural learning Bayesian nets
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...
Milan Studený, Jirí Vomlel
SPDECE
2007
115views Education» more  SPDECE 2007»
13 years 9 months ago
On the General Structure of Ontologies of Instructional Models
This paper addresses the representation of the main elements of instructional models using formal ontology languages. Following existing conceptualizations, models, methods and con...
Miguel-Ángel Sicilia
NIPS
2007
13 years 9 months ago
Learning the structure of manifolds using random projections
We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data.
Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul ...
IUI
2006
ACM
14 years 2 months ago
Interactive learning of structural shape descriptions from automatically generated near-miss examples
Sketch interfaces provide more natural interaction than the traditional mouse and palette tool, but can be time consuming to build if they have to be built anew for each new domai...
Tracy Hammond, Randall Davis
ECAL
2003
Springer
14 years 1 months ago
Learning Biases for the Evolution of Linguistic Structure: An Associative Network Model
Abstract. Structural hallmarks of language can be explained in terms of adaptation, by language, to pressures arising during its cultural transmission. Here I present a model which...
Kenny Smith