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PKDD
2007
Springer
193views Data Mining» more  PKDD 2007»
16 years 21 days ago
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
Chris Drummond
AIED
2005
Springer
16 years 4 days ago
Making Learning Design Standards Work with an Ontology of Educational Theories
In this paper, we present an ontology of educational theories their relation to learning design. This ontology takes into account learning design (LD) specifications such as OUNL-E...
Valéry Psyché, Jacqueline Bourdeau, ...
MHCI
2005
Springer
16 years 2 days ago
Field-based mLearning: who wants what?
The real needs of end users of software technology are often neglected until it is too late. An approach is outlined that puts people before technology, and investigates the real ...
Paul Ryan, Enda Finn
AI
2001
Springer
15 years 11 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
COLT
2000
Springer
15 years 11 months ago
Average-Case Complexity of Learning Polynomials
The present paper deals with the averagecase complexity of various algorithms for learning univariate polynomials. For this purpose an appropriate framework is introduced. Based o...
Frank Stephan, Thomas Zeugmann