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Grammatical Inference Algorithms in MATLAB [chapter]

Hasan Ibne Akram, Colin de la Higuera, Huang Xiao, Claudia Eckert
2010 Lecture Notes in Computer Science  
Although MATLAB 1 has become one of the mainstream languages for the machine learning community, there is still skepticism among the Grammatical Inference (GI) community regarding the suitability of MATLAB  ...  In this paper we will present implementation results of several GI algorithms, e.g., RPNI (Regular Positive and Negative Inference), EDSM (Evidence Driven State Merging), and k-testable machine.  ...  MATLAB GI Toolbox In this section we present the MATLAB GI Toolbox, an open source implementation of a set of GI algorithms in MATLAB.  ... 
doi:10.1007/978-3-642-15488-1_22 fatcat:agfshvwu7ncklljqlp3v7nic5m

Structure induction by lossless graph compression

Leonid Peshkin
2007 2007 Data Compression Conference (DCC'07)  
This work extends to graphs some well established approaches to grammatical inference previously applied only to strings.  ...  A novel algorithm, dubbed Graphitour, for structure induction by lossless graph compression is presented and illustrated by a clear and broadly known case of nested structure in a DNA molecule.  ...  This work extends to graphs some well established approaches to grammatical inference previously applied only to strings.  ... 
doi:10.1109/dcc.2007.73 dblp:conf/dcc/Peshkin07 fatcat:xxdp6dvkf5fihbr3ux5im4v34m

Towards Robotic Manipulator Grammatical Control [chapter]

Aboubekeur Hamdi-Cherif
2010 Robot Learning  
Section 4 summarizes RM control in standard mathematical terms. Section 5 deals with GI as an alternative control method. Results are summarized in Section 6 followed by a conclusion.  ...  Blending research from both fields results in the appearance of a richer community.  ...  Grammar-based classifier system as a universal tool for grammatical inference has been studied by (Unold, 2008) .  ... 
doi:10.5772/10253 fatcat:66to4ojj65dltehaejby64qopm

Artificial Neural Networks Numerical Forecasting of Economic Time Series [chapter]

Michael Stencl, Jiri Stastny
2011 Artificial Neural Networks - Application  
implemented in Matlab R2010a (by function trainlm).  ...  The elements of statistical learning; data minig, inference, and prediction, Springer series in statistics, ISBN 978-0387-95284-0.  ...  This book is suitable for all professionals and scientists in understanding how ANN is applied in various areas.  ... 
doi:10.5772/15341 fatcat:sdiaogpu3rhatnbdcu2xxlaoya

Languages as hyperplanes: grammatical inference with string kernels

Alexander Clark, Christophe Costa Florêncio, Chris Watkins
2010 Machine Learning  
We present a new family of grammatical inference algorithms based on this idea.  ...  Using string kernels, languages can be represented as hyperplanes in a high dimensional feature space.  ...  grammatical inference.  ... 
doi:10.1007/s10994-010-5218-3 fatcat:d6ntfwt4prdofi23n5xplxapyu

Languages as Hyperplanes: Grammatical Inference with String Kernels [chapter]

Alexander Clark, Christophe Costa Florêncio, Chris Watkins
2006 Lecture Notes in Computer Science  
We present a new family of grammatical inference algorithms based on this idea.  ...  Using string kernels, languages can be represented as hyperplanes in a high dimensional feature space.  ...  grammatical inference.  ... 
doi:10.1007/11871842_13 fatcat:h5r6asj7wjg4lkjdksyrw4ekvm

Building Sequence Span Attribute Model and Example Analysis

Yuqiang Sun, Yuwan Gu, Guodong Shi
2011 International Journal of Intelligent Systems and Applications  
item of the form [i , j , B η·] in parallel parsing item table memory structure in circle structure is adopted chain breaking technology; When indexed optimize analysis, the key algorithms of increasing  ...  Grammatical character affects the efficiency of parallel parsing and degree of difficulty of implement.  ...  Finally, we discuss the extended CYK algorithm for inferring context free grammars [9] . Scripting languages such as R and Matlab are widely used in scientific data processing.  ... 
doi:10.5815/ijisa.2011.03.03 fatcat:2g3apd7gfncc5pgojypbcehwcq

A Fuzzy Aproach For Facial Emotion Recognition

Gheorghe Gîlcă, Nicu-George Bîzdoacă
2015 ACTA Universitatis Cibiniensis  
Human faces are detected in images with the Viola - Jones algorithm and for its tracking in video sequences we used the Camshift algorithm.  ...  algorithm For face tracking in a video sequence, we used the camshift algorithm proposed by the authors in their paper [13] : a) Set the calculation region of the probability distribution for images.  ...  Matiko et al. present in their paper, an algorithm designed to classify emotions into two categories: positive and negative.  ... 
doi:10.1515/aucts-2015-0089 fatcat:lmtitmet55fibdsql6rcwpxegi

Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering

Seyedtaha Seyedsadr
2015 Automation Control and Intelligent Systems  
Second, the data are implemented by subtractive clustering algorithm and the error of both methods is, finally, measured and compared.  ...  In this research, the effective variables on quality of Persian articles are identified and a system is, then, designed for judging articles in three quality levels: high quality, cleanup needed, and deletion  ...  Figure 5 . 5 Decision tree for J48 algorithm. Figure 6 . 6 System structure in method 1 (using ANFIS and J48 decision tree). Figure 7 . 7 System structure in method 2 (using SC algorithm).  ... 
doi:10.11648/j.acis.20150306.18 fatcat:kyxo2o6w7ngvfgmog45aidq4wq

Strong Cognitive Symbiosis: Cognitive Computing for Humans

Csaba Veres
2017 Big Data and Cognitive Computing  
Cognitive Computing" has become somewhat of a rallying call in the technology world, with the promise of new smart services offered by industry giants like IBM and Microsoft.  ...  On the contrary, our simple examples from language processing demonstrate that present day cognitive computing still struggles with fundamental, long-standing problems in AI.  ...  A typical example is base rate neglect, which is supposed to show that the human mind lacks specific algorithms for naive Bayesian inference.  ... 
doi:10.3390/bdcc1010006 fatcat:u3snsalujvf5fgyinzjxwl5c6a

Subregular Complexity and Deep Learning [article]

Enes Avcu, Chihiro Shibata, Jeffrey Heinz
2017 arXiv   pre-print
The grammatical inference algorithm Regular Positive and Negative Inference (RPNI) provided a baseline.  ...  This paper argues that the judicial use of formal language theory and grammatical inference are invaluable tools in understanding how deep neural networks can and cannot represent and learn long-term dependencies  ...  We also thank Jim Rogers for assistance in determining the complexity of the embedded Reber grammar.  ... 
arXiv:1705.05940v3 fatcat:2xftnyzxkvdwpfud4kifomn6ve

Interpretation of Sadhu into Cholit Bhasha by Cataloguing and Translation System

Nakib Aman Turzo, Pritom Sarker, Biplob Kumar
2020 Zenodo  
MATLAB and Python are used for different machine learning algorithms. Most work is being done using Scikit Learn and MATLAB machine learning toolbox.  ...  It was inferred that this categorizer efficiently translated all Sadhu words to Cholit precisely and in well structured way. Therefore, Sadhu will not remain a complex language in this decade.  ...  Grammatical errors were quite restricted in variability and function in historical periods of English.  ... 
doi:10.5281/zenodo.3892884 fatcat:n6aibfth2zgh3bheo7aecrgrwe

Symbolic Planning and Control Using Game Theory and Grammatical Inference [article]

Jie Fu, Herbert G. Tanner, Jeffrey Heinz, Jane Chandlee, Konstantinos Karydis, Cesar Koirala
2012 arXiv   pre-print
This paper presents an approach that brings together game theory with grammatical inference and discrete abstractions in order to synthesize control strategies for hybrid dynamical systems performing tasks  ...  The combined formulation guarantees that a system specification is met if (a) the true model of the environment is in the class of models inferable from a positive presentation, (b) a characteristic sample  ...  The grammatical inference module and the strategy computation algorithm have been implemented in python, which communicates with the control for the robot (through Matlab TM ) over a serial link.  ... 
arXiv:1210.1630v1 fatcat:oja2p2jwsvdo7hdfve5ovsgvni

ICCCI 2021 Panel Details

2021 2021 International Conference on Computer Communication and Informatics (ICCCI)  
convergence speed of the neural network model using Meta heuristic algorithms for weight initialization 16 CS 648 A Scrutinized study on DoS attacks in Wireless Sensor Networks and need of SDN in  ...  11 CS 243 Blockchain Based Inventory Management by QR Code Using Open CV 12 CS 148 Fuzzy membership function design: An adaptive neuro-fuzzy inference system (ANFIS) based approach 13 CS 230 Student Academic  ... 
doi:10.1109/iccci50826.2021.9402355 fatcat:pyvqn5jpcvgolgikvoltempb4a

Computerized Hittite Cuneiform Sign Recognition and Knowledge-Based System Application Examples

A. Ziya Aktas, Beste Yesiltepe, Tunc Asuroglu
2019 European Scientific Journal  
The Hittites had lived in Anatolia more than 4000 years ago.  ...  In this paper, recognition of Hittite cuneiform signs by using computer based image-processing techniques is reported. Additionally, uses of data-mining applications are also included in the paper.  ...  Some of these algorithms were derived using functions that belong to the MATLAB Toolbox (e.g. Algorithm 1). Another example is algorithm 2 that belongs to the MATLAB Library.  ... 
doi:10.19044/esj.2019.v15n33p32 fatcat:s6ueocfnwvdflnahuj5j4op5sq
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