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» Sampling Bounds for Stochastic Optimization
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FOCI
2007
IEEE
14 years 4 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
WONS
2005
IEEE
14 years 3 months ago
Ant Agents for Hybrid Multipath Routing in Mobile Ad Hoc Networks
In this paper we describe AntHocNet, an algorithm for routing in mobile ad hoc networks based on ideas from the Nature-inspired Ant Colony Optimization framework. The algorithm co...
Frederick Ducatelle, Gianni Di Caro, Luca Maria Ga...
GIS
2009
ACM
14 years 1 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
AAAI
2004
13 years 11 months ago
A Comparison of Techniques for Scheduling Earth Observing Satellites
Scheduling observations by coordinated fleets of Earth Observing Satellites (EOS) involves large search spaces, complex constraints and poorly understood bottlenecks; conditions w...
Al Globus, James Crawford, Jason D. Lohn, Anna Pry...
GRAPHICSINTERFACE
1997
13 years 11 months ago
A Heuristic Method for Generating 2D CSG Trees from Bitmaps
This paper presents a method for generating compact and effective constructive-solid-geometry (CSG) object representations from 2D bitmap representations. The method consists of t...
Sarah F. Frisken Gibson, Joe Marks, Danielle Feinb...