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IJCNN
2000
IEEE
14 years 2 months ago
Continuous Optimization of Hyper-Parameters
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
Yoshua Bengio
FOSSACS
2010
Springer
14 years 1 months ago
Linearly-Used Continuations in the Enriched Effect Calculus
Abstract. The enriched effect calculus is an extension of Moggi's computational metalanguage with a selection of primitives from linear logic. In this paper, we present an ext...
Jeff Egger, Rasmus Ejlers Møgelberg, Alex S...
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
14 years 4 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
CVPR
2010
IEEE
14 years 7 days ago
A Study on Continuous Max-Flow and Min-Cut Approaches
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
Jing Yuan, Egil Bae, Xuecheng Tai
CGI
2004
IEEE
14 years 1 months ago
From Continuous to Discrete Games
Computer games follow a scheme of continuous simulation, coupling the rendering phase and the simulation phase. That way of operation has disadvantages that can be avoided using a...
Inmaculada García, Ramón Mollá...