Sciweavers

NIPS
2007
13 years 6 months ago
Variational Inference for Diffusion Processes
Diffusion processes are a family of continuous-time continuous-state stochastic processes that are in general only partially observed. The joint estimation of the forcing paramete...
Cédric Archambeau, Manfred Opper, Yuan Shen...
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
13 years 6 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
WSC
2007
13 years 7 months ago
Single-stage multiple-comparison procedure for quantiles and other parameters
We present a single-stage multiple-comparison procedure for comparing parameters of independent systems, where the parameters are not necessarily means or steady-state means. We a...
Marvin K. Nakayama
AAAI
2008
13 years 7 months ago
Exposing Parameters of a Trained Dynamic Model for Interactive Music Creation
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
Dan Morris, Ian Simon, Sumit Basu
AAAI
2007
13 years 7 months ago
Manifold Denoising as Preprocessing for Finding Natural Representations of Data
A natural representation of data is given by the parameters which generated the data. If the space of parameters is continuous, then we can regard it as a manifold. In practice, w...
Matthias Hein, Markus Maier
GIS
1995
ACM
13 years 8 months ago
Measuring the Complexity of Polygonal Objects
Polygonal objects are characterized by the following well-known parameters: number of vertices, area, perimeter and so on. These parameters describe the data sets that are used in...
Thomas Brinkhoff, Hans-Peter Kriegel, Ralf Schneid...
ERSHOV
2006
Springer
13 years 8 months ago
On the Importance of Parameter Tuning in Text Categorization
Abstract. Text Categorization algorithms have a large number of parameters that determine their behaviour, whose effect is not easily predicted objectively or intuitively and may v...
Cornelis H. A. Koster, Jean Beney
DGCI
2006
Springer
13 years 8 months ago
Revisiting Digital Straight Segment Recognition
Abstract. This paper presents new results about digital straight segments, their recognition and related properties. They come from the study of the arithmetically based recognitio...
François de Vieilleville, Jacques-Olivier L...
CVPR
2006
IEEE
13 years 8 months ago
Blind Haze Separation
Outdoor imaging is plagued by poor visibility conditions due to atmospheric scattering, particularly in haze. A major problem is spatially-varying reduction of contrast by stray r...
Sarit Shwartz, Einav Namer, Yoav Y. Schechner
ACSC
2004
IEEE
13 years 8 months ago
Learning Models for English Speech Recognition
This paper reports on an experiment to determine the optimal parameters for a speech recogniser that is part of a computer aided instruction system for assisting learners of Engli...
Huayang Xie, Peter Andreae, Mengjie Zhang, Paul Wa...