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ICML
2010
IEEE
14 years 11 months ago
Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
Philip M. Long, Rocco A. Servedio
CCECE
2006
IEEE
15 years 3 months ago
Adaptive Bilateral Control using Operator Elbow Impedance
— Human arm dynamics can be used for control of human-machine interfaces in haptic applications. In this paper, a novel method for online estimation of human operator elbow imped...
Farid Mobasser, Keyvan Hashtrudi-Zaad
ALIFE
2008
14 years 9 months ago
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
Koenraad Van Leemput, Tim Van den Bulcke, Thomas D...
DMSN
2004
ACM
15 years 1 months ago
Confidence-based data management for personal area sensor networks
The military is working on embedding sensors in a "smart uniform" that will monitor key biological parameters to determine the physiological status of a soldier. The sol...
Nesime Tatbul, Mark Buller, Reed Hoyt, Steve Mulle...
ICASSP
2011
IEEE
14 years 1 months ago
Impulsive interference mitigation in ad hoc networks based on alpha-stable modeling and particle filtering
In this paper, we tackle the problem of interference mitigation in ad hoc networks. In such context, the multiple access interference (MAI) is known to be of an impulsive nature. ...
Nouha Jaoua, Emmanuel Duflos, Philippe Vanheeghe, ...