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» On Deterministic Approximation of DNF
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HUC
2004
Springer
14 years 3 months ago
Particle Filters for Location Estimation in Ubiquitous Computing: A Case Study
Location estimation is an important part of many ubiquitous computing systems. Particle filters are simulation-based probabilistic approximations which the robotics community has ...
Jeffrey Hightower, Gaetano Borriello
ECCV
2010
Springer
14 years 2 months ago
Energy Minimization Under Constraints on Label Counts
Abstract. Many computer vision problems such as object segmentation or reconstruction can be formulated in terms of labeling a set of pixels or voxels. In certain scenarios, we may...
ICANN
2009
Springer
14 years 2 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
INFOCOM
2000
IEEE
14 years 2 months ago
The Chaotic Nature of TCP Congestion Control
— In this paper we demonstrate how TCP congestion control can show chaotic behavior. We demonstrate the major features of chaotic systems in TCP/IP networks with examples. These ...
Andras Veres, Miklós Boda
COCO
1998
Springer
98views Algorithms» more  COCO 1998»
14 years 1 months ago
Probabilistic Martingales and BPTIME Classes
We define probabilistic martingales based on randomized approximation schemes, and show that the resulting notion of probabilistic measure has several desirable robustness propert...
Kenneth W. Regan, D. Sivakumar