Hypotheses

This paper suggests refinements for the Distributional Similarity Hypothesis. Our proposed hypotheses relate the distributional behavior of pairs of words to lexical entailment – a tighter notion of semantic similarity that is required by many NLP applications. To automatically explore the validity of the defined hypotheses we developed an inclusion testing algorithm for characteristic features of two words, which incorporates corpus and webbased feature sampling to overcome data sparseness. ...
8p bunbo_1 17042013 21 2 Download

Báo cáo khoa học: "Robust Dialog Management with Nbest Hypotheses Using Dialog Examples and Agenda"
This work presents an agendabased approach to improve the robustness of the dialog manager by using dialog examples and nbest recognition hypotheses. This approach supports nbest hypotheses in the dialog manager and keeps track of the dialog state using a discourse interpretation algorithm with the agenda graph and focus stack. Given the agenda graph and nbest hypotheses, the system can predict the next system actions to maximize multilevel score functions. To evaluate the proposed method, a spoken dialog system for a building guidance robot was developed.
8p hongphan_1 15042013 11 1 Download

Word and ngram posterior probabilities estimated on Nbest hypotheses have been used to improve the performance of statistical machine translation (SMT) in a rescoring framework. In this paper, we extend the idea to estimate the posterior probabilities on Nbest hypotheses for translation phrasepairs, target language ngrams, and source word reorderings. The SMT system is selfenhanced with the posterior knowledge learned from Nbest hypotheses in a redecoding framework.
4p hongphan_1 15042013 18 1 Download

This paper describes a novel method for computing a consensus translation from the outputs of multiple machine translation (MT) systems. The outputs are combined and a possibly new translation hypothesis can be generated. Similarly to the wellestablished ROVER approach of (Fiscus, 1997) for combining speech recognition hypotheses, the consensus translation is computed by voting on a confusion network.
8p bunthai_1 06052013 17 1 Download

SHORT STORY BY O’HENRY The Hypotheses Of Failure Đây là một serries truyện ngắn anh ngữ nổi tiếng với những từ vựng quen thuộc. Nhằm giúp các em và các bạn yêu thich tiếng anh luyện tập và củng cố thêm kỹ năng đọc tiếng anh
18p blacktulip 01092010 60 15 Download

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 hypothesisdriven summary measures, and the potential for decomposition  enabling the examination of complex hypotheses regarding the origins of distributional changes within and between groups.
280p banhkem0908 24112012 16 4 Download

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học 'Respiratory Research cung cấp cho các bạn kiến thức về ngành y đề tài:"Childhood infections and asthma: at the crossroads of the hygiene and Barker hypotheses...
4p toshiba13 22102011 16 2 Download

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Construct development: The Suicide Trigger Scale (STS2), a measure of a hypothesized suicide trigger state
11p thulanh29 18122011 12 2 Download

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Editorial: hypotheses about protein folding  the proteomic code and wonderfolds...
2p toshiba17 28102011 17 1 Download

Chapter 9  Hypothesis testing. After mastering the material in this chapter, you will be able to: Set Up appropriate null and alternative hypotheses, describe Type I and Type II errors and their probabilities, use critical values and pvalues to perform a z test about a population mean when s is known,...
12p whocare_b 05092016 2 0 Download

In this chapter you will learn: Describe quantitative research and its assumptions, identify examples of quantitative research, explain analytic deduction, explain the fivecomponent model for quantitative research, explain the role of hypotheses in quantitative research, assess the effectiveness of hypotheses in quantitative research,...
19p luimotbuoc_4 11112016 0 0 Download

Chapter 3  Introduction to quantitative research. After reading this chapter, you should be able to: Describe quantitative research and its assumptions, identify examples of quantitative research, explain analytic deduction, explain the fivecomponent model for quantitative research, explain the role of hypotheses in quantitative research, assess the effectiveness of hypotheses in quantitative research,...
19p luimotbuoc_4 11112016 0 0 Download

Chapter 4  Introduction to quantitative research. After reading this chapter, you should be able to: Describe quantitative research and its assumptions, identify examples of quantitative research, explain analytic deduction, explain the fivecomponent model for quantitative research, explain the role of hypotheses in quantitative research,...
19p luimotbuoc_4 11112016 0 0 Download

A better understanding of the influence of tobacco smoke on the host response to periodontal infection has been the major concern in numerous studies whereas, limited research has been published aiming to identify the influence of tobacco smoke on the dental biofilm. Tobacco smoke has been shown to cause shifts in the microbial species that comprise dental plaque (Haffajee & Socransky 2001, Kamma et al. 1999, Shiloah et al. 2000, Umeda et al. 1998, van Winkelhoff et al. 2001, Zambon et al. 1996). In a recent study by our group (Buduneli et al.
177p pt_1669 26032012 313 100 Download

This is a survey of nonlinear regression models, with an emphasis on the theory of estimation and hypothesis testing rather than computation and applications, although there will be some discussion of the last two topics. For a general discussion of computation the reader is referred to Chapter 12 of this Handbook by Quandt. My aim is to present the gist of major results; therefore, I will sometimes omit proofs and less significant assumptions. For those, the reader must consult the original sources....
57p phuonghoangnho 23042010 208 61 Download

In panel data models (as in singleequation multipleregression models) we are interested in testing two types of hypotheses: hypotheses about the variances and covariances of the stochastic error terms and hypotheses about the regression coefficients. The general to simple procedure provides a good guide.
7p hgiang 11032009 288 49 Download

The Asian financial crisis has generated a lot of research, analysis and debate. The exact causes of the crisis are not firmly established, although various hypotheses have been offered. This paper presents one view of the genesis of the East Asian crisis. Several explanations are examined: managed exchange rates, over and undervalued currencies, crony capitalism, asset bubbles, Japanese devaluation, or “too much” capital account liberalization. A large part of the analysis centers around the proposition that the regime of managed exchange rates was at the core of the problem.
40p bimat_exe_0910 03122009 169 45 Download

C H A P T E R 16 Test driving – sampling theory, estimation and hypothesis testing Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ ■ understand the theory behind the use of sample results for prediction make use of the t distribution and appreciate its importance construct and interpret interval estimates of population means and population proportions work out necessary sample sizes for interval estimation carry out tests of hypotheses about population means, proportions and medians, and draw appropriate conclusions from them use the technology; the t distr...
57p leslienguyen 21112010 50 19 Download

The estimation process begins by assuming or hypothesizing that the least squares linear regression model (drawn from a sample) is valid. The formal twovariable linear regression model is based on the following assumptions: (1) The population regression is adequately represented by a straight line: E(Yi) = μ(Xi) = β0 + β1Xi (2) The error terms have zero mean: E(∈i) = 0 (3) A constant variance (homoscedasticity): V(∈i) = σ2
12p truongdoan 10112009 77 16 Download

C H A P T E R 17 High performance – statistical inference for comparing population means and bivariate data Chapter objectives This chapter will help you to: ■ test hypotheses on the difference between two population means using independent samples and draw appropriate conclusions ■ carry out tests of hypotheses about the difference between two population means using paired data and draw appropriate conclusions ■ test differences between population means using analysis of variance analysis (ANOVA) and draw appropriate conclusions ...
58p leslienguyen 21112010 56 16 Download