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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
153
Voted
DC
2010
15 years 6 months ago
Distributed algorithms for ultrasparse spanners and linear size skeletons
We present efficient algorithms for computing very sparse low distortion spanners in distributed networks and prove some non-trivial lower bounds on the tradeoff between time, spar...
Seth Pettie
JPDC
2006
106views more  JPDC 2006»
15 years 6 months ago
Adaptive algorithms for the dynamic distribution and parallel execution of agent-based models
We propose a framework for defining agent-based models (ABMs) and two algorithms for the automatic parallelization of agent-based models, a general version P-ABMG for all ABMs def...
Matthias Scheutz, Paul W. Schermerhorn
TR
2008
78views more  TR 2008»
15 years 6 months ago
MOMS-GA: A Multi-Objective Multi-State Genetic Algorithm for System Reliability Optimization Design Problems
A custom genetic algorithm was developed and implemented to solve multiple objective multi-state reliability optimization design problems. Many real-world engineering design proble...
Heidi A. Taboada, Jose F. Espiritu, David W. Coit

Publication
767views
17 years 5 months ago
Analysis of the Increase/Decrease Algorithms for Congestion Avoidance in Computer Networks
Congestion avoidance mechanisms allow a network to operate in the optimal region of low delay and high throughput, thereby, preventing the network from becoming congested. This is ...
D. Chiu and R. Jain