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AI
2010
Springer
14 years 11 months ago
Robustness of Classifiers to Changing Environments
Abstract. In this paper, we test some of the most commonly used classifiers to identify which ones are the most robust to changing environments. The environment may change over tim...
Houman Abbasian, Chris Drummond, Nathalie Japkowic...
OL
2011
332views Neural Networks» more  OL 2011»
14 years 11 months ago
A robust implementation of a sequential quadratic programming algorithm with successive error restoration
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
Klaus Schittkowski
BMCBI
2007
136views more  BMCBI 2007»
15 years 4 months ago
Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
Xiaoyu Chen, Mathieu Blanchette
ISCAS
2006
IEEE
144views Hardware» more  ISCAS 2006»
15 years 10 months ago
A VLSI spike-driven dynamic synapse which learns only when necessary
— We describe an analog VLSI circuit implementing spike-driven synaptic plasticity, embedded in a network of integrate-and-fire neurons. This biologically inspired synapse is hi...
S. Mitra, Stefano Fusi, Giacomo Indiveri
ISQED
2002
IEEE
105views Hardware» more  ISQED 2002»
15 years 9 months ago
Impact Analysis of Process Variability on Clock Skew
This paper presents a methodology for the statistical analysis of clock tree structures. It allows to accurately predict and analyze the impact of process variation on clock skew....
Enrico Malavasi, Stefano Zanella, Min Cao, Julian ...