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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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AUTOMATICA
2007
113views more  AUTOMATICA 2007»
13 years 8 months ago
Asymptotic rejection of unknown sinusoidal disturbances in nonlinear systems
This paper deals with global disturbance rejection of nonlinear systems. The disturbance is assumed to be sinusoidal with completely unknown phases, amplitude, and frequencies, bu...
Zhengtao Ding
CDC
2010
IEEE
272views Control Systems» more  CDC 2010»
13 years 2 months ago
Node capture attacks in wireless sensor networks: A system theoretic approach
In this paper we address the problem of physical node capture attacks in wireless sensor networks and provide a control theoretic framework to model physical node capture, cloned n...
Tamara Bonaci, Linda Bushnell, Radha Poovendran
BC
2002
193views more  BC 2002»
13 years 7 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
COLT
2007
Springer
13 years 11 months ago
An Efficient Re-scaled Perceptron Algorithm for Conic Systems
Abstract. The classical perceptron algorithm is an elementary algorithm for solving a homogeneous linear inequality system Ax > 0, with many important applications in learning t...
Alexandre Belloni, Robert M. Freund, Santosh Vempa...
OSDI
2008
ACM
14 years 8 months ago
An Internet Protocol Address Clustering Algorithm
We pose partitioning a b-bit Internet Protocol (IP) address space as a supervised learning task. Given (IP, property) labeled training data, we develop an IP-specific clustering a...
Robert Beverly, Karen R. Sollins