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...
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 ...
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...
— 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...
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...