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HYBRID
2004
Springer
15 years 5 months ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
CIDM
2007
IEEE
15 years 6 months ago
Structure Prediction in Temporal Networks using Frequent Subgraphs
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
Mayank Lahiri, Tanya Y. Berger-Wolf
SC
2005
ACM
15 years 5 months ago
Parallel Programmer Productivity: A Case Study of Novice Parallel Programmers
In developing High-Performance Computing (HPC) software, time to solution is an important metric. This metric is comprised of two main components: the human effort required develo...
Lorin Hochstein, Jeffrey Carver, Forrest Shull, Si...
DATAMINE
2006
83views more  DATAMINE 2006»
14 years 12 months ago
Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
Djamel Bouchaffra, Jun Tan
FMSD
2006
85views more  FMSD 2006»
14 years 11 months ago
Distributed disk-based algorithms for model checking very large Markov chains
In this paper we present data structures and distributed algorithms for CSL model checking-based performance and dependability evaluation. We show that all the necessary computatio...
Alexander Bell, Boudewijn R. Haverkort