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ICML
2007
IEEE
16 years 4 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»
15 years 3 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
15 years 4 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...
114
Voted
ICCAD
2004
IEEE
101views Hardware» more  ICCAD 2004»
16 years 3 days 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 9 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