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JMLR
2010
121views more  JMLR 2010»
15 years 1 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
15 years 4 months ago
Solving iterated functions using genetic programming
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
Michael D. Schmidt, Hod Lipson
PE
2006
Springer
80views Optimization» more  PE 2006»
15 years 6 months ago
Sojourn time approximations in queueing networks with feedback
Bart M. M. Gijsen, Robert D. van der Mei, P. Engel...
ICPR
2008
IEEE
16 years 7 months ago
Dynamic target classification in wireless sensor networks
Feature extraction and classification are two important components in pattern recognition. In this paper, we propose dynamic target classification in WSNs. The main idea of this a...
Ying Sun, Hairong Qi
IFIP13
2004
15 years 8 months ago
A Sampling Model to Ascertain Automation-Induced Complacency in Multi-Task Environments
: This article discusses the development of a model that defines the optimal sampling behaviour of operators in a multi-task flight simulation, where one of the tasks is automated....
Nasrine Bagheri, Greg A. Jamieson