Xem 1-20 trên 637 kết quả Classifying
  • 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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  • 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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  • 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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  • 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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  • The study suggests that in order to be able to identify and classify appropriately a behavioral process (verb), it must be placed in relation to other components of the clause, and both semantic (meaning) and lexicogrammatical (structure) criteria should be taken into consideration.

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  • Trong bài này các tác giả trình bày một phương pháp mới, kết hợp Haar Like Feature - Cascade of Boosted Classifiers (CBC) và các đặc trưng cục bộ không đổi (Scale-Invariant Feature Transform - SIFT) cho nhận dạng mặt người. Mời các bạn cùng tham khảo.

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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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  • 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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  • 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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  • (BQ) Part 2 book "Cosmetic dermatology - Principles and practice" presents the following contents: Cosmetic procedures (botulinum toxin, dermal fillers, lasers and light devices, facial scar revision,...), skin care (cleansing agents, moisturizing agents, depigmenting agents, fragrance, preservatives,...), other (bioengineering of the skin, scales used to classify skin, the psychosocial aspects of cosmetic dermatology).

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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.

    ppt14p hoa_khoai91 12-06-2014 27 4   Download

  • The book is a new edition of a bestseller by an experienced coach Sergey Ivashchenko. Over 250,000 copies of his books were sold in the Soviet Union in the late 1980's. This book is intended for beginners, both children and adults. The themes are: Mate in one, Mate in two, Win a queen, Win a rook, Win a piece, etc. The book designed for chess players with ELO 900-1200 points. Includes more than 700 tactical problems classified according to themes and difficult.

    pdf146p bangtom1 13-09-2016 21 4   Download


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