Classifying

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  • One of the pioneer ways to advertise your products is through classifieds. In those days, business owners utilized the print media for promoting various businesses like buying and selling properties, recruiting, educational, consulting, share trading, insurance, logistics, hotel, secretarial etc., After massive internet growth, classified sites have mushroomeed like viral and every marketer or business owner prefers to post ads every day in order to increase sales and maximise profits.

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  • Handwritten text recognition is a difficult problem in the field of pattern recognition. This paper focuses on two aspects of the work on recognizing isolated handwritten Vietnamese characters, including feature extraction and classifier combination. For the first task, based on the work in [1] we will present how to extract features for Vietnamese characters based on gradient, structural, and concavity characteristics of optical character images. For the second task, we first develop a general framework of classifier combination under the context of optical character recognition. ...

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  • Argumentation schemes are structures or templates for various kinds of arguments. Given the text of an argument with premises and conclusion identified, we classify it as an instance of one of five common schemes, using features specific to each scheme. We achieve accuracies of 63–91% in one-against-others classification and 80–94% in pairwise classification (baseline = 50% in both cases).

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  • This paper describes a method for automatically extracting and classifying multiword expressions (MWEs) for Urdu on the basis of a relatively small unannotated corpus (around 8.12 million tokens). The MWEs are extracted by an unsupervised method and classified into two distinct classes, namely locations and person names. The classification is based on simple heuristics that take the co-occurrence of MWEs with distinct postpositions into account.

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  • In this work, we investigate the use of error-correcting output codes (ECOC) for boosting centroid text classifier. The implementation framework is to decompose one multi-class problem into multiple binary problems and then learn the individual binary classification problems by centroid classifier. However, this kind of decomposition incurs considerable bias for centroid classifier, which results in noticeable degradation of performance for centroid classifier. In order to address this issue, we use Model-Refinement to adjust this so-called bias. ...

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  • This paper describes a fully automatic twostage machine learning architecture that learns temporal relations between pairs of events. The first stage learns the temporal attributes of single event descriptions, such as tense, grammatical aspect, and aspectual class. These imperfect guesses, combined with other linguistic features, are then used in a second stage to classify the temporal relationship between two events. We present both an analysis of our new features and results on the TimeBank Corpus that is 3% higher than previous work that used perfect human tagged features. ...

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  • Teach children to learn English is quite hard work and complex by young are not really conscious of learning as adults and most are very giddy. For children focused on lessons, teachers need teaching combined with vivid visuals, invite you to consult the text book "Classifying plants and animals" for further reference in the teaching process English for children.

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  • We report initial results on the relatively novel task of automatic classification of author personality. Using a corpus of personal weblogs, or ‘blogs’, we investigate the accuracy that can be achieved when classifying authors on four important personality traits. We explore both binary and multiple classification, using differing sets of n-gram features. Results are promising for all four traits examined.

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  • In this paper, we propose an approach for identifying curatable articles from a large document set. This system considers three parts of an article (title and abstract, MeSH terms, and captions) as its three individual representations and utilizes two domain-specific resources (UMLS and a tumor name list) to reveal the deep knowledge contained in the article. An SVM classifier is trained and cross-validation is employed to find the best combination of representations. The experimental results show overall high performance. ...

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  • Chapter 3: Nearest neighbor based classifiers is Introduction; Nearest Neighbor algorithm, Variants of the NN algorithm, Data Reduction, Prototype reduction, Z-score normalization, Modified k-Nearest Neighbor algorithm and somethings else.

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  • Chapter 4: Bayes Classifier present of you about The naïve Bayes Probabilistic model, Constructing a Classifier from the probability model, An application of Naïve Bayes Classifier, Bayesian network.

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  • Combination of classifiers A combination or an ensemble of classifiers is a set of classifiers are combined to classify new examples. A combination of classifiers is often more accurate than the individual classifiers that make them up. This is Chapter 9: Combination of classifiers.

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  • Chapter 2 Approaches to language testing Language tests are chronologically classified according to four main approaches: (1) the essay translation approach; (2) the structuralist approach; (3) the integrative approach; and (4) the communicative

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  • Criminal psychology, forensic technology, and profiling. These three disciplines have received a wealth of media attention over the past decade. Consequently, due to public and professional interest, a plethora of books have been published. The technique of offender profiling, or classifying offenders according to their behaviors and characteristics, has been developing slowly as a possible investigative tool since 1841 and the publication of the The Murders in the Rue Morgue by Edgar Alan Poe, in which detective C.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Intelligent query by humming system based on score level fusion of multiple classifiers

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  • Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài:"Classifying xylophone bar materials by perceptual, signal processing and wood anatomy analysis"

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  • Lecture Chapter 2: Approaches to language testing presented Language tests are chronologically classified according to four main approaches: (1) the essay translation approach; (2) the structuralist approach; (3) the integrative approach; and (4) the communicative.

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  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care cung cấp cho các bạn kiến thức về ngành y đề tài: Bench-to-bedside review: Mechanisms of critical illness – classifying microcirculatory flow abnormalities in distributive shock...

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: A protocol for classifying normal- and flat-arched foot posture for research studies using clinical and radiographic measurements...

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Wearable kinesthetic system for capturing and classifying upper limb gesture in post-stroke rehabilitation

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