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Profiling Novel Classification algorithms: Artificial Immune System

Profiling Novel Classification Algorithms: Artificial Immune...

引用

IEEE International Conference on Cybernetic Intelligent Systems

作者： Peter van der Putten Lingjun Meng Joost N. KoK LIACS Eeiden University Shandong University LIACS Leiden University

ISBN: (纸本)9781424429141

In this paper we present an approach for bench-marking and profiling novel classification algorithms. We apply it to AIRS, an Artificial Immune System algorithm inspired by how the natural immune system recognizes and remembers intruders. We provide basic benchmarking results for AIRS, to our knowledge the first such test under standardised conditions. We also investigate how data set properties (data set size) relate to AIRS performance, and what other algorithms produce similar patterns over- and underperformance on specific data sets. We present three methods for computing algorithm similarity that may be useful for profiling novel algorithms in general.

关键词： artificial immune systems sorting algorithm BENCHMARKS Immune System Dataset air

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EAC: Efficient Associative Classifier for Classification

EAC: Efficient Associative Classifier for Classification

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International Conference on Applied Machine Learning (ICAML)

作者： Santosh Kumar Usha Manasi Mohapatra Debabrata Singh Dilip Kumar Choubey Deptartment of CSIT ITER S' x2018 O'A University Bhubaneswar Odisha India School of CSE Vellore Institute of Technology VeIlore India

ISBN: (纸本)9781728139098

Mining of large datasets which generally leads to the generation of a huge volume of rules and redundancy which Associative Classifiers find very difficult to handle. Thus, most Associative Classification algorithms like CPAR and CMAR, only mine frequent itemsets, which are then processed using additional algorithms in a greedy manner. This adds overhead in running time and makes the process more complex. In this paper, we proposed a new Associative Classification algorithm, called Efficient Associative Classifier (EAC). EAC deals with redundant association rules through an effective and simple pruning technique which also helps in cutting down the number of rules which finally form a part of the classifier. The classifiers are built in a two-phased manner so as to achieve the maximum accuracy and maximum representation of all possible class labels involved in the domain. In the first phase, association rule mining (ARM) is performed globally by taking global values of support and confidence. The rule set is pruned on the basis of information gain. Similarly, second phase deals with the ARM processed locally for each class label followed by pruning. The optimal pruned rule set is sorted based in certain parameters and supplied to the classifier. The proposed method used the information gain and entropy to build a set of optimal rules. In spite of being an efficient associative classifier, EAC achieves very good accuracy and tops the accuracy comparison charts for most of the UCI-Machine learning datasets that we used for testing.

关键词： data mining learning (artificial intelligence) pattern classification Pattern recognition Classifiers Associative Ruleset data mining information gain East African Community sorting algorithm cutting down Propionibacterium acnes Taxonomy mining

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Ultra-fast electromagnetic transient model of the modular multilevel converter for HVDC studies

Ultra-fast electromagnetic transient model of the modular mu...

引用

12th IET International Conference on AC and DC Power Transmission (ACDC 2016)

作者： Jianzhong Xu Hui Ding Shengtao Fan Aniruddha M. Gole Chengyong Zhao Yan Xiong North China Electric Power University China University of Manitoba Canada North China Electric Power University - Baoding Campus Baoding Hebei CN

This paper introduces a very fast electromagnetic transient (EMT) simulation model for the HVDC modular multi-level converter (MMC) that maintains the identity of each switching level, but achieves computation speeds comparable to much simplified averaged models. In contrast with previously developed fast MMC simulation models, this model achieves its speedup by using a special time-varying Thévenin equivalent based algorithm that uses the A-stable Backward Euler (BE) integration method. The approach assumes the switch's “ON” condition as a conduction resistance, whereas the “OFF” condition is modeled by an ideal open circuit. The approach was compared with a full detailed simulation (no simplifications), and showed negligible loss in accuracy and yet had a much reduced computational time, comparable with the much less accurate averaged-value models (AVM).

关键词： sorting algorithm Backward Euler (BE) carrier phase-shifted sinusoidal pulse-width modulation (CPS-SPWM) modular multilevel converter (MMC) nearest level control (NLC) sub-module (SM)

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FEATURE CLASSIFICATION BASED ON LOCAL INFORMATION

FEATURE CLASSIFICATION BASED ON LOCAL INFORMATION

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European Signal Processing Conference

作者： Ling Shao Ihor Kirenko Ping Li University of Pisa

Feature extraction is the first and most critical step in various vision applications. The detected features must be classified into different feature types before they can be efficiently and effectively applied on further vision tasks. In this paper, we propose a feature classification algorithm that classifies the detected regions into four types including blobs, edges and lines, textures, and texture boundaries, by using the correlations with the neighbouring regions. The effectiveness of the feature classification is evaluated on image retrieval.

关键词： sorting algorithm Taxonomy information image retrieval Feature extraction Sight textures

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Comparison of the Application Effect of Existing Classification algorithms by Measured Voltage Dip

Comparison of the Application Effect of Existing Classificat...

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China International Electrical and Energy Conference (CIEEC)

作者： Chengsheng Li Huaying Zhang Yan Li Electric Power Research Institute China Southern Power Grid Company Shenzhen Power Supply Corporation Shenzhen China

ISBN: (数字)9781728116754

ISBN: (纸本)9781728116761

This paper presents the mechanism of five different algorithms for the type of unbalance dip, compared the results based on measured voltage dip by these algorithms. Apply three algorithms to calculate the type of unbalance dip for some typical cases. A conclusion is that there are large differences in results when applying the different algorithms to measured voltage dips. For two of the algorithms it is recommended against application or further development.

关键词： Electromagnetic compatibility (EMC) power quality dip type measured voltage dip voltage sags Power quality algorithms sorting algorithm Unbalance Snuff Dip

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On Leader Following and Classification

On Leader Following and Classification

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Procopio Stein Anne Spalanzani Vitor Santos Christian Laugier INRIA Rhone Alpes France Universidade de Aveiro Portugal

ISBN: (纸本)9781479969357

Service and assistance robots that must move in human environment must address the difficult issue of navigating in dynamic environments. As it has been shown in previous works, in such situations the robots can take advantage of the motion of persons by following them, managing to move together with humans in difficult situations. In those circumstances, the problem to be solved is how to choose a human leader to be followed. This work proposes an innovative method for leader selection, based on human experience. A learning framework is developed, where data is acquired, labeled and then used to train an AdaBoost classification algorithm, to determine if a candidate is a bad or a good leader, and also to study the contribution of features to the classification process.

关键词： HUMAN ENVIRONMENT geolocation measurement Human Robot sorting algorithm Persons candidate species

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CONVOLUTIONAL SPARSE CODING CLASSIFICATION MODEL FOR IMAGE CLASSIFICATION

CONVOLUTIONAL SPARSE CODING CLASSIFICATION MODEL FOR IMAGE C...

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IEEE International Conference on Image Processing

作者： Boheng Chen Jie Li Biyun Ma Gang Wei School of Electronic and Information South China University of Technology

ISBN: (纸本)9781467399623

In this paper, we present a novel classification model which combines the convolutional sparse coding framework with the classification strategy. In the training phase, the proposed model trained a convolutional filter bank by all images of each class. In the test phase, the label of test image is determined by all convolutional filter banks. Compared with canonical sparse representation and dictionary learning classification algorithm, more representative information of the corresponding images could be captured by the trained filters, thus better classification performance can be obtained. Experimental results on some image benchmark databases demonstrated the effectiveness of the proposed method.

关键词： Convolutional sparse coding Sparse representation Convolutional filter Image representation Image classification Image classification sparse representation image representation Taxonomy images Filter banks sorting algorithm

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EVALUATION OF RULE-BASED CLASSIFIER FOR LANDSAT-BASED AUTOMATED LAND COVER MAPPING IN SOUTH AFRICA

EVALUATION OF RULE-BASED CLASSIFIER FOR LANDSAT-BASED AUTOMA...

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IEEE International Geoscience and Remote Sensing Symposium

作者： B. P. Salmon K. J. Wessels F. van den Bergh K. Steenkamp W. Kleynhans D. Swanepoel D. Roy V. Kovalskyy Remote Sensing Research Unit Meraka Institute CSIR South Africa Geographic Information Science Center of Excellence South Dakota State University South Dakota USA

ISBN: (纸本)9781479911127

This study investigated the automated pre-processing and land cover classification of Landsat data. The Web-enabled Landsat Data (WELD) system was used to process large volumes of Landsat imagery to calibrated top of atmosphere reflectance and brightness temperature products which are composited temporally and mosaicked for the KwaZulu-Natal Province of South Africa. The usefulness of an Automatic Spectral Rule-base Classifier (ASRC) approach was evaluated by relating the produced spectral categories to land cover classes. The ASRC method uses a hierarchical rule set, which relies on universally set thresholds derived from the literature, to decide on the spectral category. To assess the performance, the spectral categories were treated as input features to supervised classifiers to optimally assign land cover labels. The land cover classes used in the experiments were obtained from the official map of the Kwazulu-Natal province in South Africa, which was generated by operators in 2008. This approach was compared to an experiment using the original 7 Landsat spectral bands and derived indices as input features. It was found that the ASRC spectral categories did not provide a useful translation to land cover classes (45.5% classification accuracy), while the experiments using the Landsat 7 spectral bands or indices did considerably better (82.7% classification accuracy).

关键词： Classification algorithms Knowledge based systems Pattern recognition Remote sensing Satellites Knowledge based systems South Africa sorting algorithm satellites Northern Province South Africa Cape Province region Pattern recognition land cover classes remote sensing Landsat satellites land cover Automation Ruleset ENTERING

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Acoustic Reflector Localization and Classification

Acoustic Reflector Localization and Classification

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Luca Remaggi Hansung Kim Philip J. B. Jackson Filippo Maria Fazi Adrian Hilton Centre for Vision Speech and Signal Processing University of Surrey Guildford GU2 7XH UK Institute of Sound and Vibration Research University of Southampton Southampton SO17 1BJ UK

ISBN: (纸本)9781538646595

The process of understanding acoustic properties of environments is important for several applications, such as spatial audio, augmented reality and source separation. In this paper, multichannel room impulse responses are recorded and transformed into their direction of arrival (DOA)-time domain, by employing a superdirective beamformer. This domain can be represented as a 2D image. Hence, a novel image processing method is proposed to analyze the DOA-time domain, and estimate the reflection times of arrival and DOAs. The main acoustically reflective objects are then localized. Recent studies in acoustic reflector localization usually assume the room to be free from furniture. Here, by analyzing the scattered reflections, an algorithm is also proposed to binary classify reflectors into room boundaries and interior furniture. Experiments were conducted in four rooms. The classification algorithm showed high quality performance, also improving the localization accuracy, for non-static listener scenarios.

关键词： Reflector Localization Reflector Size Classification Room Impulse Response Beamforming Beamforming reflectors sorting algorithm Acoustics two dimentional images Quality factor Source separation TIME-DOMAIN Furnishings Domain

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A Matlab/Simulink model for capacitor voltages balancing in modular multilevel converters

A Matlab/Simulink model for capacitor voltages balancing in ...

引用

8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)

作者： Nada Ahmed Ahmed Massoud Qatar University Doha Ad Dawhah QA

ISBN: (纸本)9781510825666

The modular multilevel converter (MMC) is a potential candidate for high power applications due to its modularity, availability, and enhanced power quality features. Nevertheless, the voltage balancing of the floating capacitors in the series-connected submodules (SMs) of the MMC represents a bottleneck in this type of multilevel converters. In this paper, a generalized voltage balancing technique for MMCs is modelled using Matlab/Simulink platform. The presented model can be simply extended to any number of levels where the switching frequency can be as low as the fundamental frequency. A 9-level MMC is modelled and simulated using half bridge topology where the switches are controlled using phase disposition carrier-based pulse width modulation (PD-PWM) scheme to validate the proposed concept.

关键词： MMC sorting algorithm Voltage balancing Fundamental switching frequency PD-PWM voltage balance METAL MATRIX COMPOSITES Mitocin-C sorting algorithm Modular multilevel converters multistage converter Capacitors Power quality

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