General methods

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  • In this paper, we compare three different generalization methods for in-domain and cross-domain opinion holder extraction being simple unsupervised word clustering, an induction method inspired by distant supervision and the usage of lexical resources. The generalization methods are incorporated into diverse classifiers. We show that generalization causes significant improvements and that the impact of improvement depends on the type of classifier and on how much training and test data differ from each other. ...

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  • Lecture "Advanced Econometrics (Part II) - Chapter 13: Generalized method of moments (GMM)" presentation of content: Orthogonality condition, method of moments, generalized method of moments, GMM and other estimators in the linear models, the advantages of GMM estimator, GMM estimation procedure.

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  • If we take an existing supervised NLP system, a simple and general way to improve accuracy is to use unsupervised word representations as extra word features. We evaluate Brown clusters, Collobert and Weston (2008) embeddings, and HLBL (Mnih & Hinton, 2009) embeddings of words on both NER and chunking. We use near state-of-the-art supervised baselines, and find that each of the three word representations improves the accuracy of these baselines.

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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: A general method for nested RT-PCR amplification and sequencing the complete HCV genotype 1 open reading frame

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  • Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài : A general method for nested RT-PCR amplification and sequencing the complete HCV genotype 1 open reading frame

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  • While the stochastic volatility (SV) generalization has been shown to improve the explanatory power over the Black-Scholes model, empirical implications of SV models on option pricing have not yet been adequately tested. The purpose of this paper is to first estimate a multivariate SV model using the efficient method of moments (EMM) technique from observations of underlying state variables and then investigate the respective effect of stochastic interest rates, systematic volatility and idiosyncratic volatility on option prices....

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  • Spreadsheets provide one of the most easily learned routes to scientific computing. This book uses Excel®, the most powerful spreadsheet available, to explore and solve problems in general and chemical data analysis. It follows the usual sequence of college textbooks in analytical chemistry: statistics, chemical equilibria, pH calculations, titrations, and instrumental methods such as chromatography, spectrometry, and

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  • The primary focus of this chapter in on general approaches and considerations toward development of high-performance liquid chromatography (HPLC) methods for separation of pharmaceutical compounds, which may be applied within the various functions in the drug development continuum. It is very important to understand the aim of analysis and the requirements for a particular method to be developed. The aim of analysis of each HPLC method may vary for each developmental area in the drug development process and specific examples are given in Section 8.2.

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  • This book contains some of the contributions, divided into five main sections, that have been carefully selected and peer-reviewed, which were presented at the International Symposium MME06 Mathematical Methods in Engineering, held in Cankaya University, Ankara, April 27—29, 2006. The Symposium provided a setting for discussing recent developments in Fractional Mathematics, Neutrices and Generalized Functions, Boundary Value Problems, Applications of Wavelets, Dynamical Systems and Control Theory....

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  • Currently I'm attending in a preparing course. And there are exams. I did well, got 85% in Ethics and 100% in Quantitative methods. However I think the scores are somehow misleading, I still don't feel so confident in any of these 2 fields. The book is really useful, specially in the field of quantitative methods. If you're going to take the test and you have enough time, I recommend reading this book instead of guide books such as Schweser Note.

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  • The Nondestructive testing science is a broad field that covers variety of testing methods and applications, in addition to the associated pre and post processing mathematics. In terms of methods and techniques the Nondestructive testing modalities rely on different physical phenomena such as the electromagnetism, the acoustic emission, the thermal emission and the penetration of high-energy radiation through materials and structures.

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  • In recent years the study of numerical methods for solving ordinary differential equations has seen many new developments. This second edition of the author's pioneering text is fully revised and updated to acknowledge many of these developments. It includes a complete treatment of linear multistep methods whilst maintaining its unique and comprehensive emphasis on Runge-Kutta methods and general linear methods. Although the specialist topics are taken to an advanced level, the entry point to the volume as a whole is not especially demanding.

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  • (BQ) Ebook An Introduction to Programming and Numerical Methods in MATLAB  provides an introduction to the numerical methods that are typically encountered (and used) in science and engineering undergraduate courses. The material is developed in tandem with matlab which allows rapid prototyping and testing of the methods. The package matlab (matrix laboratory) pro vides an environment in which students can learn to programme and explore the structure of the numerical methods.

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  • Planarization method s if the graph is nonplanar, make it planar! (by placing dummy vertices at the crossings) s use one of the drawing algorithms for planar graphs e.g., GIOTTO [Tamassia Batini Di Battista 87] Orientation method s orient the graph into a digraph s use one the drawing algorithms for digraphs Force-Directed method s define a system of forces acting on the vertices and edges s find a minimum energy state (solve differential equations or simulate the evolution of the system)

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  • Charging of batteries must be conducted with direct current. Alternative current or rotary current have to be transformed. Mostly semiconductor rectifiers are employed for this task. Methods for battery charging vary with demand and the charging time is of great importance. The charging devices can be divided into those that charge above gassing voltage and those that do not. Chargers that exceed gassing voltage during charging are employed for charging one battery at a time, while the ones that do not exceed gassing voltage can be used for parallel charging of several batteries. ...

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  • Chapter 9 The Generalized Method of Moments 9.1 Introduction The models we have considered in earlier chapters have all been regression models of one sort or another. In this chapter and the next, we introduce more general types of models, along with a general method for performing estimation

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  • Alberta is proving that environmental protection and economic development can happen at the same time. The province has shown leadership through legislation and policies involving land reclamation, water controls, air quality, and human and ecosystem health. In the oil sands, current production methods mean that more energy is needed to produce a barrel of oil than conventional oil. But the gap is closing. Technology continues to advance, reducing the energy and environmental impact of oil sands recovery. ...

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  • Tham khảo sách 'medical imaging systems technology methods in diagnosis optimization a 5-volume set', y tế - sức khoẻ, y dược phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • his monograph presents methods for full comparative distributional analysis based on the relative distribution. This provides a general integrated framework for analysis, a graphical component that simplifies exploratory data analysis and display, a statistically valid basis for the development of hypothesis-driven summary measures, and the potential for decomposition - enabling the examination of complex hypotheses regarding the origins of distributional changes within and between groups.

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  • In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a noun’s parent is often a verb). Model parameters are estimated using a generalized expectation (GE) objective function that penalizes the mismatch between model predictions and linguistic expectation constraints.

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