Case-Based Reasoning and ^-Nearest Neighbours
Reverse Nearest Neighbours in Unsupervisedd Distance-Based Outlier Detection
... reverse nearest neighbor counts in problems concerning unsupervised outlier detection, focusing on the effects of high dimensionality on unsupervised outlier-detection methods and the hubness phenomenon, extending ...
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K-Nearest Neighbours Based Classifiers for Moving Object Trajectories Reconstruction
... cameras based on K- Nearest Neighbor (KNN) ...reconstruction based on machine learning algorithms which is more efficient than other approaches for dynamic tracking, such as RGB-D (Red, Green and Red ...
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K-Nearest Neighbours (K-NN) Approach Based on Network Summarization
... network. Nearest neighbour (NN) query is one of the most significant operations in spatial databases and their application field domains, for example location-based services and advanced traveller ...
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Learning set cardinality in distance nearest neighbours
... optimization. The selectivity of a dNN query is just the fraction of the answer set cardinality out of the total number of points in the dataset. Efficient optimization of complex queries relies heavily on accurate SCP, ...
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On finding approximate nearest neighbours in a set of compressible signals
... 6. CONCLUSIONS The sparse structure of compressible signals offers a rather straightforward way to reduce the dimensionality of complex signals. In this paper, we have exploited this structure to re- cursively localize ...
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Vocal Separation Using Nearest Neighbours and Median Filtering
... using nearest neigh- bour median filtering algorithm. In the case of the separations for the instrumental tracks, the results are still good, but are worse for both the 0dB and 6dB ...
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Expert System Diagnosis of Bowel Disease Using Case Based Reasoning with Nearest Neighbor Algorithm
... is Case Based ...the Nearest Neighbor algorithm is ...using Case Based Reasoning with Nearest Neighbor algorithm in diagnosing bowel disease and determine the accuracy of ...
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Penerapan Case Based Reasoning dan Algortima Nearest Neighbor untuk Penentuan Lokasi Waralaba
... pendekatan Case-based Reasoning(CBR) dan algoritma Nearest ...algoritma nearest neighbor menunjukkan bahwa proses penentuan lokasi menjadi lebih cepat dan ...
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Is ‘Context-Aware Reasoning = Case-Based Reasoning’?
... of Case Based Reasoning When considering possible uses of CBR within our project, we can foresee both isolated uses, and uses in conjunction with the context-awareness technologies already ...video ...
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Classifying Medical Literature Using k-Nearest-Neighbours Algorithm
... However, if classes from different classification systems are mixed up, it will become hard to systematically search for all works in a certain category. Thus, the ultimate goal is still to classify all works according ...
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K-Nearest Neighbours Method as a Tool for Failure Rate Prediction
... prediction quality. The smallest K, the bigger prediction vari- ance. The optimal number of K is not known a priori and usage of V-fold-cross-validation algorithm is recommended to find the best K. The main idea of ...
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ECG Beat Classification Using Evidential K -Nearest Neighbours
... 1. Introduction Cardiological problems are one of the leading causes of fatality. Cardiac arrhythmia is the term used to indicate any abnormal electrical activity (rhythm) of the heart. The electrocardiogram (ECG) signal ...
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A K-nearest neighbours approach to unsupervised spoken term discovery
... 2. RELATED WORK Spoken term discovery systems can be sorted in two classes. The first class attempts to discover recurring motifs in the speech signal by using a DTW-based distance metric over mo- tifs, and ...
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Case Based Reasoning in Practice: Investigation of The Practical Importance of Case Based Reasoning
... accomplish the knowledge management in the real industry. 6. Discussion Theoretically, applying CBR to software development project brings many advantages. In academic field, applying CBR as a method of knowledge ...
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Preferences in Case-Based Reasoning
... preferences based on the importance of some parameters more than others, but we do not know this information and the search is adjusted according to the oracle’s preferences by optimizing the likeli- hood of a ...
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HSQC spectral based similarity matching of compounds using nearest neighbours and a fast discrete genetic algorithm
... analysis based on hydrogen and carbon chemical ...a nearest neighbour approach and a probabilistic method based on an existing discrete genetic ...
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From Big data to Smart Data with the K Nearest Neighbours algorithm
... is based on the concept of similarity, and in classification problems, for example, it means that patterns that are similar have to be assigned to the same ...
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From Big data to Smart Data with the K-Nearest Neighbours algorithm
... is based on the concept of similarity, and in classification problems, for example, it means that patterns that are similar have to be assigned to the same ...
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Rule based reasoning and case based reasoning techniques for juvenile delinquency legal reasoning model
... In the legal domain, reliable data refers to precedent cases and court orders. Precedent cas- es are previous juvenile delinquency cases committed by the same or different juvenile. Pro- bation officers refer and analyse ...
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Case reuse in textual case-based reasoning.
... This is unlike MT which typically generates textual outputs from scratch using mathe- matical models. The structure of MT output texts are also well defined as translations are done on a segment by segment basis unlike ...
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