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ILP
2003
Springer
15 years 8 months ago
Hybrid Abductive Inductive Learning: A Generalisation of Progol
The learning system Progol5 and the underlying inference method of Bottom Generalisation are firmly established within Inductive Logic Programming (ILP). But despite their success...
Oliver Ray, Krysia Broda, Alessandra Russo
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 7 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
ASWEC
2000
IEEE
15 years 7 months ago
Formal Requirements Engineering: Learning from the Students
Formal methods are becoming increasingly important in many areas of software development and should be incorporated in the teaching of software engineering. Requirements capture i...
J. Paul Gibson
ICCAD
1999
IEEE
95views Hardware» more  ICCAD 1999»
15 years 7 months ago
Dynamic power management using adaptive learning tree
Dynamic Power Management (DPM) is a technique to reduce power consumption of electronic systems by selectively shutting down idle components. The quality of the shutdown control a...
Eui-Young Chung, Luca Benini, Giovanni De Micheli
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 7 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani