Classification analysis

Xem 1-20 trên 76 kết quả Classification analysis
  • Geographic Information System (GIS) analysis is basically spatial problem-solving. It can be quite challenging at first, especially if you get bogged down in syntax and details. The hardest part is to conceptually understand the problem, and the GIS tools available to solve your problem. This book will help you understand conceptually how various GIS tools work. So for now, forget about workspaces, libraries, spatial database engines, dangling nodes, fuzzy tolerances, requests and instances....

    pdf293p 951628473 07-05-2012 46 7   Download

  • Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, Blind Source Separation (BSS) by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement systems, image processing, telecommunications, medical signal processing and several data mining issues.

    pdf0p cucdai_1 19-10-2012 40 7   Download

  • In Chapter 1 we present in detail a framework for fully automated brain tissue classification. The framework consists of a sequence of fully automated state of the art image registration (both rigid and nonrigid) and image segmentation algorithms. Models of the spatial distribution of brain tissues are combined with models of expected tissue intensities, including correction of MR bias fields and estimation of partial voluming. We also demonstrate how this framework can be applied in the presence of lesions....

    pdf831p echbuon 02-11-2012 27 7   Download

  • Quantitative Analysis book 2 Lecture Classifications of Risk defining risk, identifying the classifications of risks and explaining the role played by risk in value creation.

    pdf275p kimcang111 31-03-2014 23 9   Download

  • By using the integrated analysis and quantitative method, this paper presents the results of classification and assessment of bioclimatic conditions for tourism, health resort, and weather therapies, based on 1,826 weather combinations of 19 meteorological stations of Vietnam in the period of 2001-2005. 1. In the territory of Vietnam, the number of good weather days for tourism and human health varies in a wide range: from 308.4 days per year in Vung Tau to 109.6 days per year in Sa Pa. For tourism, excursion, sea vacation in the lowland area: Vung Tau, Con Dao and Nha Trang have about...

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  • Most previous work on multilingual sentiment analysis has focused on methods to adapt sentiment resources from resource-rich languages to resource-poor languages. We present a novel approach for joint bilingual sentiment classification at the sentence level that augments available labeled data in each language with unlabeled parallel data. We rely on the intuition that the sentiment labels for parallel sentences should be similar and present a model that jointly learns improved monolingual sentiment classifiers for each language. ...

    pdf11p hongdo_1 12-04-2013 19 3   Download

  • We present results of two methods for assessing the event profile of news articles as a function of verb type. The unique contribution of this research is the focus on the role of verbs, rather than nouns. Two algorithms are presented and evaluated, one of which is shown to accurately discriminate documents by type and semantic properties, i.e. the event profile. The initial method, using WordNet (Miller et al. 1990), produced multiple cross-classification of articles, primarily due to the bushy nature of the verb tree coupled with the sense disambiguation problem. ...

    pdf7p bunrieu_1 18-04-2013 23 3   Download

  • Sentiment analysis on Twitter data has attracted much attention recently. In this paper, we focus on target-dependent Twitter sentiment classification; namely, given a query, we classify the sentiments of the tweets as positive, negative or neutral according to whether they contain positive, negative or neutral sentiments about that query. Here the query serves as the target of the sentiments. The state-ofthe-art approaches for solving this problem always adopt the target-independent strategy, which may assign irrelevant sentiments to the given target. ...

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  • Name tagging is a critical early stage in many natural language processing pipelines. In this paper we analyze the types of errors produced by a tagger, distinguishing name classification and various types of name identification errors. We present a joint inference model to improve Chinese name tagging by incorporating feedback from subsequent stages in an information extraction pipeline: name structure parsing, cross-document coreference, semantic relation extraction and event extraction.

    pdf8p hongvang_1 16-04-2013 25 2   Download

  • This paper examines two problems in document-level sentiment analysis: (1) determining whether a given document is a review or not, and (2) classifying the polarity of a review as positive or negative. We first demonstrate that review identification can be performed with high accuracy using only unigrams as features. We then examine the role of four types of simple linguistic knowledge sources in a polarity classification system.

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  • We develop a general feature space for automatic classification of verbs into lexical semantic classes. Previous work was limited in scope by the need for manual selection of discriminating features, through a linguistic analysis of the target verb classes (Merlo and Stevenson, 2001). We instead analyze the classification structure at a higher level, using the possible defining characteristics of classes as the basis for our feature space.

    pdf8p bunthai_1 06-05-2013 16 2   Download

  • This project measures and classifies language variation. In contrast to earlier dialectology, we seek a comprehensive characterization of (potentially gradual) differences between dialects, rather than a geographic delineation of (discrete) features of individual words or pronunciations. More general characterizations of dialect differences then become available. We measure phonetic (un)relatedness between dialects using Levenshtein distance, and classify by clustering distances but also by analysis through multidimensional scaling. ...

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  • This chapter describe the classification, measurement, and disclosure under International Financial Reporting Standards (IFRS) for (1) investments in financial assets, (2) investments in associates, (3) joint ventures, (4) business combinations, and (5) special purpose and variable interest entities; distinguish between IFRS and U.S. GAAP in the classification, measurement, and disclosure of investments in financial assets, investments in associates, joint ventures, business combinations, and special purpose and variable interest entities;…

    ppt34p allbymyself_10 02-03-2016 14 5   Download

  • The variation in speech due to dialect is a factor which significantly impacts speech system performance. In this study, we investigate effective methods of combining acoustic and language information to take advantage of (i) speaker based acoustic traits as well as (ii) content based word selection across the text sequence. For acoustics, a GMM based system is employed and for text based dialect classification, we proposed n-gram language models combined with Latent Semantic Analysis (LSA) based dialect classifiers. ...

    pdf4p hongphan_1 15-04-2013 30 1   Download

  • We investigate the logical structure of concepts generated by conjunction and disjunction over a monotonic multiple inheritance network where concept nodes represent linguistic categories and links indicate basic inclusion (ISA) and disjointhess (ISNOTA) relations. We model the distinction between primitive and defined concepts as well as between closed- and open-world reasoning. We apply our logical analysis to the sort inheritance and unification system of HPSG and also to classification in systemic choice systems. ...

    pdf8p bunmoc_1 20-04-2013 13 1   Download

  • This paper proposes an analysis method for Japanese modality. In this purpose, meaning of Japanese modality is classified into four semantic categories and the role of it is formalized into five modality functions. Based on these formalizations, information and constraints to be applied to the modality analysis procedure are specified. Then by combining these investigations with case analysis, the analysis method is proposed. This analysis method has been applied to Japanese analysis for machine translation. ...

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  • Systems Analysis and Design: Chapter 15 - Designing Accurate Data Entry Procedure's Objectives is Understand the uses of effective coding to support users in accomplishing their tasks; Design effective and efficient data capture approaches for people and systems.

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  • This chapter distinguish between costs that are capitalized and costs that are expensed in the period in which they are incurred; compare the financial reporting of the following classifications of intangible assets: purchased, internally developed, acquired in a business combination; explain and evaluate the effects on financial statements and ratios of capitalizing versus expensing costs in the period in which they are incurred;...

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  • Chapter 9 - Introduction to industry and company analysis. The topics discussed in this chapter are: Uses of industry analysis; industry classification systems; establishing a peer group; strategic analysis: Porter’s five forces; industry and product life cycles; demographic, governmental, social, and technological influences; company analysis; cost and differentiation strategies; spreadsheet modeling.

    ppt29p allbymyself_10 02-03-2016 15 1   Download

  • Part 1 book "Fabric analysis" presented the contents chapter 1 -Theory of fabric construction, chapter 2 - The construction of cloth. Invite you to refer to the disclosures.

    pdf52p tramnamcodon_07 26-04-2016 17 3   Download


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