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ICASSP
2011
IEEE
14 years 10 months ago
Adaptive recursive FLANN filters for nonlinear active noise control
In this paper, a recursive nonlinear filter exploiting trigonometric expansions of the past output samples is introduced. Its peculiarity is, in general, the ability to model rea...
Giovanni L. Sicuranza, Alberto Carini
ACL
2012
13 years 9 months ago
Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection
We present a joint model for Chinese word segmentation and new word detection. We present high dimensional new features, including word-based features and enriched edge (label-tra...
Xu Sun, Houfeng Wang, Wenjie Li
PDP
2010
IEEE
15 years 10 months ago
Malleable-Lab: A Tool for Evaluating Adaptive Online Schedulers on Malleable Jobs
—The emergence of multi-core computers has led to explosive development of parallel applications and hence the need of efficient schedulers for parallel jobs. Adaptive online sc...
Yangjie Cao, Hongyang Sun, Wen-Jing Hsu, Depei Qia...
GPEM
2002
95views more  GPEM 2002»
15 years 6 months ago
On Appropriate Adaptation Levels for the Learning of Gene Linkage
A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
James Smith
FOAL
2009
ACM
16 years 1 months ago
A type system for functional traversal-based aspects
We present a programming language model of the ideas behind Functional Adaptive Programming (AP-F) and our Java implementation, DemeterF. Computation in AP-F is encapsulated in se...
Bryan Chadwick, Karl J. Lieberherr