Sciweavers

860 search results - page 110 / 172
» Describing Process Patterns with UML
Sort
View
ECML
2006
Springer
15 years 7 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
VISSYM
2007
15 years 5 months ago
Animation of Orthogonal Texture-Based Vector Field Visualization
This paper introduces orthogonal vector field visualization on 2D manifolds: a representation by lines that are perpendicular to the input vector field. Line patterns are generate...
Sven Bachthaler, Daniel Weiskopf
COGSCI
2010
114views more  COGSCI 2010»
15 years 3 months ago
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior
We evaluate two broad classes of cognitive mechanisms that might support the learning of sequential patterns. According to the first, learning is based on the gradual accumulation...
Todd M. Gureckis, Bradley C. Love
CORR
2006
Springer
93views Education» more  CORR 2006»
15 years 3 months ago
Functional dissipation microarrays for classification
In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be very effective for enhancing classification of h...
D. Napoletani, Daniele C. Struppa, T. Sauer, V. Mo...
MCS
2008
Springer
15 years 3 months ago
Numerical optimal control of the wave equation: optimal boundary control of a string to rest in finite time
In many real-life applications of optimal control problems with constraints in form of partial differential equations (PDEs), hyperbolic equations are involved which typically desc...
Matthias Gerdts, Günter Greif, Hans Josef Pes...