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An analysis of matching in learning classifier systems

Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono
2008 Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08  
We investigate rule matching in learning classifier systems for problems involving binary and real inputs.  ...  The results on matching alone show that the population generality influences the performance of the matching algorithms based on string representations in different ways.  ...  CONCLUSIONS We analyzed matching in learning classifier systems in binary and real domains. Our aim was to extend the previous analysis of Llorà and Sastry [18] in two respects.  ... 
doi:10.1145/1389095.1389359 dblp:conf/gecco/ButzLLL08 fatcat:mhqe333fsrhkhlvbj3uhui2od4

Artificial Immune-based Algorithm for Academic Leadership Assessment

Hamidah Jantan, Nur Hamizah, Zulaiha Ali
2019 International Journal of Advanced Computer Science and Applications  
Artificial Immune-based algorithm is inspired by the biological immune system as computational intelligence approach in data analysis.  ...  The data consists of academic leadership proficiency was prepared as data-set for learning and detection processes.  ...  can be used to categorize or classify the important element in data analysis [3] .  ... 
doi:10.14569/ijacsa.2019.0100848 fatcat:kyq4yp4gireffj73ekbvgxhn2i

Event-driven learning classifier systems for online soccer games

Yuji Sato, Ryutaro Kanno
2005 Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05  
A hybrid system combining an existing strategy algorithm and a classifier system is also employed.  ...  In experiments that observed the outcome of 10,000 soccer games between this event-driven classifier system and a human-designed algorithm, the proposed system was found to be capable of learning effective  ...  PROPOSAL OF AN EVENT-DRIVEN LEARNING CLASSIFIER SYSTEM It is common in the production of video games for human designers to explicitly specify the decision-making algorithms to be used by game agents.  ... 
doi:10.1145/1068009.1068374 dblp:conf/gecco/SatoK05 fatcat:o5zllbdbgfamdbn52eftlsmapq

Learning for Meta-Recognition

Walter J. Scheirer, Anderson de Rezende Rocha, Jonathan Parris, Terrance E. Boult
2012 IEEE Transactions on Information Forensics and Security  
In this work, we consider meta-recognition, an approach for post-recognition score analysis, whereby a prediction of matching accuracy is made from an examination of the tail of the scores produced by  ...  In this article, we present a study of the machine learning algorithm and its associated features for the purpose of building a highly accurate meta-recognition system for security and surveillance applications  ...  Ross Beveridge, who provided valuable feedback on early drafts of this work.  ... 
doi:10.1109/tifs.2012.2192430 fatcat:j5azmudesbajzgiic2is4anc3q

Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective [article]

Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu
2017 arXiv   pre-print
Dramatic advances in big data analytics has led to a wide variety of interactive model analysis tasks.  ...  In this paper, we present a comprehensive analysis and interpretation of this rapidly developing area.  ...  In this paper, we first provide an overview of interactive model analysis.  ... 
arXiv:1702.01226v1 fatcat:7b567qtinzfz5ij72ml7q4y6qi

Towards better analysis of machine learning models: A visual analytics perspective

Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu
2017 Visual Informatics  
Dramatic advances in big data analytics have led to a wide variety of interactive model analysis tasks.  ...  In this paper, we present a comprehensive analysis and interpretation of this rapidly developing area.  ...  In this paper, we first provide an overview of interactive model analysis.  ... 
doi:10.1016/j.visinf.2017.01.006 fatcat:houvi2c37fa77b2wpydyrgggyi

Probability matching, the magnitude of reinforcement, and classifier system bidding

David E. Goldberg
1990 Machine Learning  
This paper juxtaposes the probability matching paradox of decision theory and the magnitude of reinforcement problem of animal learning theory to show that simple classifier system bidding structures are  ...  unable to match the range of behaviors required in the deterministic and probabilistic problems faced by real cognitive systems.  ...  I also acknowledge the research support and pleasant surroundings provided by the Rowland Institute for Science during my visit in 1988. At that time, a number of  ... 
doi:10.1007/bf00116878 fatcat:fwcfzpabovertdaobollhgt6cm

Automatic detection of collisions in elite level rugby union using a wearable sensing device

Daniel Kelly, Garrett F. Coughlan, Brian S. Green, Brian Caulfield
2012 Sports Engineering  
The results of the validation show that the system is able to consistently identify collisions with very few false positives and false negatives, achieving a recall and precision rating of 0.933 and 0.958  ...  Currently, to evaluate measurements specific to player tackles, a time-consuming manual analysis of player sensor data and video footage is required.  ...  In a preliminary investigation as part of this work, a tackle count analysis for international test match level rugby union was conducted.  ... 
doi:10.1007/s12283-012-0088-5 fatcat:vy2rdbu4mra25nievs2hsxfphm

A survey of document image classification: problem statement, classifier architecture and performance evaluation

Nawei Chen, Dorothea Blostein
2006 International Journal on Document Analysis and Recognition  
Document image classification is an important step in Office  ...  Rule learning is discussed further in Sect. 4.4. Template matching Template matching is used to match an input document with one or more prototypes of each class.  ...  The document classifier used in the STRECH system is aimed to work as the front-end for a set of commercial OCR systems [1] .  ... 
doi:10.1007/s10032-006-0020-2 fatcat:2ssef27glvh7dik37emkr4zpd4

Power-Aware Activity Monitoring Using Distributed Wearable Sensors

Hassan Ghasemzadeh, Pasquale Panuccio, Simone Trovato, Giancarlo Fortino, Roozbeh Jafari
2014 IEEE Transactions on Human-Machine Systems  
In this paper, we present an activity monitoring approach that minimizes power consumption of the system subject to a lower bound on the classification accuracy.  ...  The system further employs a boosting approach to enhance accuracy of the distributed classifier by selecting a subset of sensors optimized in terms of power consumption and capable of achieving a given  ...  For this reason, we performed an analysis in this section where each action is considered as the target, and performance of the system is analyzed accordingly.  ... 
doi:10.1109/thms.2014.2320277 fatcat:zuwquj7jlrejlor5yxcnaufi6a

A Novel Approach Based on CVQ Technique for Face Recognition

Arman Mehrbakhsh, Alireza Khalilian
2012 International Journal of Computer and Electrical Engineering  
Face Recognition has been an active area over many years in do main of pattern recognition, image processing and computer vision.  ...  In general, principal co mponent analysis, quadratic discriminant analysis, linear discriminant analysis, statistical approaches are used for processing face recognition.  ...  The value 'rbf' is the default for one-class learning, and uses a Gaussian radial basis function. An important step to successfully train an SVM classifier is to choose an appropriate KernelFunction.  ... 
doi:10.7763/ijcee.2012.v4.528 fatcat:dmfokaz6sjbl5ec3rmmqr7nlyy

Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience [article]

Isar Nejadgholi, Kathleen C. Fraser, Berry De Bruijn
2020 arXiv   pre-print
Using the training set of the NER system, we built a fast and lightweight entity classifier to approximate the user experience of such mismatches through accepting or rejecting them.  ...  The decisions made by this classifier are used to calculate a learning-based F-score which is shown to be a better approximation of a forgiving user's experience than the relaxed F-score.  ...  Types of Errors in NER systems While the SemEval 2013 Task 9.1 categorized different types of matches for the purpose of evaluation, we further categorize mismatches for the sake of error analysis.  ... 
arXiv:2006.05281v1 fatcat:czhc6u2bybarposcqgofscapwm

Classification of Acoustic Emissions Using Modified Matching Pursuit

Samuel P Ebenezer, Antonia Papandreou-Suppappola, Seth B Suppappola
2004 EURASIP Journal on Advances in Signal Processing  
We propose a new time-frequency decomposition-based classifier using the modified matching pursuit algorithm for an actual acoustic monitoring system.  ...  We propose methodologies to automatically classify time-varying warning signals from an acoustic monitoring system that indicate the potential catastrophic structural failures of reinforced concrete structures  ...  In our application, an acoustic monitoring system can afford to have a small number of false positive classifications provided that it does not significantly increase the effort of the manual analysis  ... 
doi:10.1155/s1110865704311029 fatcat:mo5oaptdobdplesnr3kddkgmii

A comparison of adaptive matchers for screening of faces in video surveillance

Miguel De-la-Torre, Paulo V. W. Radtke, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy
2012 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications  
Some matchers proposed in literature may be employed to adapt facial models of individuals enrolled to the system in response to new reference samples.  ...  Video-based face screening is essentially a detection problem where faces captured in video sequences are matched against the facial models of individuals of interest.  ...  This work was also supported by the Programa de Mejoramiento del Profesorado of the Secretaría de Educación Pública in México (PROMEP/103.5/094294).  ... 
doi:10.1109/cisda.2012.6291529 dblp:conf/cisda/De-la-TorreRGSG12 fatcat:p4p35bldw5dfxbn6ji7bdp6s6m

Evaluation of Daylight and Thermal Infra-Red based Detection for Platooning Vehicles [chapter]

Wilfried Woeber, Martin Kefer, Wilfried Kubinger, Daniel Szuegyi
2012 DAAAM Proceedings  
To enable an autonomous behaviour in all weather conditions a thermal infra-red camera system is implemented to detect objects based on their heat signature.  ...  The research project "SafeCon" tackles the problem of the safety in military transport missions. In such missions people can be killed by attacks or natural dangers, for example avalanches.  ...  This section gives detailed information of the learning process of the system and the connection between the template matching and the AdaBoost learning algorithm.  ... 
doi:10.2507/23rd.daaam.proceedings.168 fatcat:5muhzp7zu5bmbltnoemr3p5dsi
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