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ICCAD
2006
IEEE
101views Hardware» more  ICCAD 2006»
16 years 20 days ago
Thermal-induced leakage power optimization by redundant resource allocation
Traditionally, at early design stages, leakage power is associated with the number of transistors in a design. Hence, intuitively an implementation with minimum resource usage wou...
Min Ni, Seda Ogrenci Memik
ECML
2006
Springer
15 years 10 months ago
Improving Control-Knowledge Acquisition for Planning by Active Learning
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
Raquel Fuentetaja, Daniel Borrajo
ECAI
2008
Springer
15 years 8 months ago
Online Rule Learning via Weighted Model Counting
Online multiplicative weight-update learning algorithms, such as Winnow, have proven to behave remarkably for learning simple disjunctions with few relevant attributes. The aim of ...
Frédéric Koriche
ICIP
2004
IEEE
16 years 8 months ago
Retin al: an active learning strategy for image category retrieval
Active learning methods have been considered with an increasing interest in the content-based image retrieval (CBIR) community. In this article, we propose an efficient method bas...
Philippe Henri Gosselin, Matthieu Cord
ICML
2007
IEEE
16 years 7 months ago
Experimental perspectives on learning from imbalanced data
We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napol...