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COLT
2005
Springer
16 years 8 days ago
Analysis of Perceptron-Based Active Learning
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Montele...
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
15 years 11 months ago
Asynchronous gossip algorithms for stochastic optimization
Abstract— We consider a distributed multi-agent network system where the goal is to minimize an objective function that can be written as the sum of component functions, each of ...
Sundhar Srinivasan Ram, Angelia Nedic, Venugopal V...
WSC
2004
15 years 8 months ago
Assessing Obstacle Location Accuracy in the Remus Unmanned Underwater Vehicle
Navy personnel use the REMUS unmanned underwater vehicle to search for submerged objects. Navigation inaccuracies lead to errors in predicting the location of objects and thus inc...
Timothy E. Allen, Arnold H. Buss, Susan M. Sanchez
WSC
1998
15 years 8 months ago
A Speculation-based Approach for Performance and Dependability Analysis: A Case Study
In this paper, we propose two speculation-based methods for fast and accurate simulation-based performance and dependability analysis of complex systems, incorporating detailed si...
Yiqing Huang, Zbigniew Kalbarczyk, Ravishankar K. ...
NAACL
1994
15 years 8 months ago
High-Accuracy Large-Vocabulary Speech Recognition Using Mixture Tying and Consistency Modeling
Improved acoustic modeling can significantly decrease the error rate in large-vocabulary speech recognition. Our approach to the problem is twofold. We first propose a scheme that...
Vassilios Digalakis, Hy Murveit