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ICML
2007
IEEE
15 years 10 months ago
On the relation between multi-instance learning and semi-supervised learning
Multi-instance learning and semi-supervised learning are different branches of machine learning. The former attempts to learn from a training set consists of labeled bags each con...
Zhi-Hua Zhou, Jun-Ming Xu
CORR
2000
Springer
120views Education» more  CORR 2000»
14 years 9 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
ESANN
2007
14 years 11 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...
ICCAD
2004
IEEE
101views Hardware» more  ICCAD 2004»
15 years 6 months ago
Frugal linear network-based test decompression for drastic test cost reductions
— In this paper we investigate an effective approach to construct a linear decompression network in the multiple scan chain architecture. A minimal pin architecture, complemented...
Wenjing Rao, Alex Orailoglu, G. Su
MTV
2007
IEEE
118views Hardware» more  MTV 2007»
15 years 4 months ago
Reduction of Power Dissipation during Scan Testing by Test Vector Ordering
Test vector ordering is recognized as a simple and non-intrusive approach to assist test power reduction. Simulation based test vector ordering approach to minimize circuit transit...
Wang-Dauh Tseng, Lung-Jen Lee