2626 search results - page 111 / 526 » The complexity of stochastic sequences |
160
Voted
BMCBI
2005
15 years 6 months ago
2005
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
163
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SFM
2007
Springer
16 years 7 days ago
2007
Springer
Stochastic performance models provide a powerful way of capturing and analysing the behaviour of complex concurrent systems. Traditionally, performance measures for these models ar...
158
Voted
STACS
1999
Springer
15 years 10 months ago
1999
Springer
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
178
Voted
SIMVIS
2003
15 years 7 months ago
2003
The paradigm of the proxel ("probability element") was recently introduced in order to provide a new algorithmic approach to analysing discrete-state stochastic models s...
214
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SCP
2000
15 years 5 months ago
2000
Obtaining performance models, like Markov chains and queueing networks, for systems of significant complexity and magnitude is a difficult task that is usually tackled using human...