نتایج جستجو برای: approximate model

تعداد نتایج: 2156488  

Journal: :Statistical Applications in Genetics and Molecular Biology 2011

Journal: :Journal of the Australian Mathematical Society 1962

Journal: :International Journal of Geometric Methods in Modern Physics 2011

2004
Tobias Nopper Christoph Scholl

We consider the problem of checking whether an incomplete design can still be extended to a complete design satisfying a given CTL formula and whether the property is satisfied for all possible extensions. Motivated by the fact that well-known model checkers like SMV or VIS produce incorrect results when handling unknowns by using the programs’ non-deterministic signals, we present a series of ...

2006
Jérôme Darbon Richard Lassaigne Sylvain Peyronnet

In this paper we deal with the problem of applying model checking to real programs. We verify a program without constructing the whole transition system using a technique based on Monte-Carlo sampling, also called “approximate model checking”. This technique combines model checking and randomized approximation. Thus, it avoids the socalled state space explosion phenomenon. We propose a prototyp...

2011
Li-Zhong Ding Shizhong Liao

Model selection is critical to least squares support vector machine (LSSVM). A major problem of existing model selection approaches of LSSVM is that the inverse of the kernel matrix need to be calculated with O(n) complexity for each iteration, where n is the number of training examples. It is prohibitive for the large scale application. In this paper, we propose an approximate approach to mode...

Journal: :CoRR 2012
D. V. Lande Ya. A. Kalinovskiy Yuliya E. Boyarinova

The paper provided a description of a new model of information retrieval, which is an extension of vector-space model and is based on the principles of the theory of hypercomplex numerical systems. The model allows to some extent realize the idea of fuzzy search and allows you to apply in practice the model of information retrieval practical developments in the field of hypercomplex numerical s...

2014
Scott Niekum Sarah Osentoski Christopher G. Atkeson Andrew G. Barto

We introduce CHAMP, an algorithm for online Bayesian changepoint detection in settings where it is difficult or undesirable to integrate over the parameters of candidate models. Rather than requiring integration of the parameters of candidate models as in several other Bayesian approaches, we require only the ability to fit model parameters to data segments. This approach greatly simplifies the...

2006
Barry O'Sullivan Gregory M. Provan

The use of embedded technology has become widespread. Many complex engineered systems comprise embedded features to perform self-diagnosis or self-reconfiguration. These features require fast response times in order to be useful in domains where embedded systems are typically deployed. Researchers often advocate the use of compilation-based approaches to store the set of environments (resp. sol...

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