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Multigenerative grammar systems and matrix grammars

Roman Lukáš, Alexander Meduna (2010)

Kybernetika

Multigenerative grammar systems are based on cooperating context-free grammatical components that simultaneously generate their strings in a rule-controlled or nonterminal-controlled rewriting way, and after this simultaneous generation is completed, all the generated terminal strings are combined together by some common string operations, such as concatenation, and placed into the generated languages of these systems. The present paper proves that these systems are equivalent with the matrix grammars....

Multi-island finite automata and their even computation

Dušan Kolář, Alexander Meduna, Martin Tomko (2021)

Kybernetika

This paper discusses n -island finite automata whose transition graphs can be expressed as n -member sequences of islands i 1 , i 2 , ⋯ , i n , where there is a bridge leaving i j and entering i j + 1 for each 1 ≤ j ≤ n - 1 . It concentrates its attention on even computation defined as any sequence of moves during which these automata make the same number of moves in each of the islands. Under the assumption that these automata work only in an evenly computational way, the paper proves its main result stating that n -island finite automata...

Multi-label classification using error correcting output codes

Tomasz Kajdanowicz, Przemysław Kazienko (2012)

International Journal of Applied Mathematics and Computer Science

A framework for multi-label classification extended by Error Correcting Output Codes (ECOCs) is introduced and empirically examined in the article. The solution assumes the base multi-label classifiers to be a noisy channel and applies ECOCs in order to recover the classification errors made by individual classifiers. The framework was examined through exhaustive studies over combinations of three distinct classification algorithms and four ECOC methods employed in the multi-label classification...

Multilevel Modeling of the Forest Resource Dynamics

I. N. Vladimirov, A. K. Chudnenko (2009)

Mathematical Modelling of Natural Phenomena

We examine the theoretical and applications-specific issues relating to modeling the temporal and spatial dynamics of forest ecosystems, based on the principles of investigating dynamical models. When developing the predictive dynamical models of forest resources, there is a possibility of achieving uniqueness of the solutions to equations by taking into account the initial and boundary conditions of the solution, and the conditions of the geographical environment. We present the results of a computer...

Multiple-instance learning with pairwise instance similarity

Liming Yuan, Jiafeng Liu, Xianglong Tang (2014)

International Journal of Applied Mathematics and Computer Science

Multiple-Instance Learning (MIL) has attracted much attention of the machine learning community in recent years and many real-world applications have been successfully formulated as MIL problems. Over the past few years, several Instance Selection-based MIL (ISMIL) algorithms have been presented by using the concept of the embedding space. Although they delivered very promising performance, they often require long computation times for instance selection, leading to a low efficiency of the whole...

Multi-stage genetic fuzzy systems based on the iterative rule learning approach.

Antonio González, Francisco Herrera (1997)

Mathware and Soft Computing

Genetic algorithms (GAs) represent a class of adaptive search techniques inspired by natural evolution mechanisms. The search properties of GAs make them suitable to be used in machine learning processes and for developing fuzzy systems, the so-called genetic fuzzy systems (GFSs). In this contribution, we discuss genetics-based machine learning processes presenting the iterative rule learning approach, and a special kind of GFS, a multi-stage GFS based on the iterative rule learning approach, by...

Multistage interconnection networks in multiprocessor systems. A simulation study.

Víctor López de Buen (1987)

Qüestiió

The principal modelling and simulation features of multistage interconnection networks operating in packet switching are discussed in this paper. The networks studied interconnect processors and memory modules in multiprocessor systems. Several methods are included to increase the bandwidth achievable with this kind of networks. Besides using network buffering, the possibility of having queues of requests at the memory modules is considered. Network conflicts can be reduced using a second network...

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