Independent

[ Team LiB ] Recipe 1.11 Writing DatabaseIndependent Code Problem You need to develop an application that can be used with different data providers, but does not lose functionality that is specific to the different providers.
3p luvpro 04082010 48 4 Download

These criteria set a general framework for monitoring existing and proposed legislation. But monitoring the actual policy needs of SME is difficult even in advanced economies. There is a need to establish mechanisms for effective publicprivate sector dialogue and feedback from those who implement legislation. Business associations from time to time can undertake studies of members’ needs and governments anticipating a particularly acute problem or proposing new forms of legislation may commission surveys.
84p bi_ve_sau 05022013 15 3 Download

This paper presents a languageindependent probabilistic answer ranking framework for question answering. The framework estimates the probability of an individual answer candidate given the degree of answer relevance and the amount of supporting evidence provided in the set of answer candidates for the question. Our approach was evaluated by comparing the candidate answer sets generated by Chinese and Japanese answer extractors with the reranked answer sets produced by the answer ranking framework. ...
8p hongvang_1 16042013 22 3 Download

In this paper we start to explore twopart collocation extraction association measures that do not estimate expected probabilities on the basis of the independence assumption. We propose two new measures based upon the wellknown measures of mutual information and pointwise mutual information.
6p hongdo_1 12042013 9 2 Download

We present a simple, languageindependent method for integrating recovery of empty elements into syntactic parsing. This method outperforms the best published method we are aware of on English and a recently published method on Chinese.
5p hongdo_1 12042013 15 2 Download

This paper describes a new discourse module within our multilingual NLP system. Because of its unique datadriven architecture, the discourse module is languageindependent. Moreover, the use of hierarchically organized multiple knowledge sources makes the module robust and trainable using discoursetagged corpora. Separating discourse phenomena from knowledge sources makes the discourse module easily extensible to additional phenomena.
8p bunmoc_1 20042013 12 2 Download

We present a languagepair independent terminology extraction module that is based on a subsentential alignment system that links linguistically motivated phrases in parallel texts. Statistical ﬁlters are applied on the bilingual list of candidate terms that is extracted from the alignment output. We compare the performance of both the alignment and terminology extraction module for three different language pairs (FrenchEnglish, FrenchItalian and FrenchDutch) and highlight languagepair speciﬁc problems (e.g. different compounding strategy in French and Dutch). ...
9p bunthai_1 06052013 23 2 Download

Many current approaches to statistical language modeling rely on independence a.~sumptions 1)etween the different explanatory variables. This results in models which are computationally simple, but which only model the main effects of the explanatory variables oil the response variable. This paper presents an argmnent in favor of a statistical approach that also models the interactions between the explanatory variables. The argument rests on empirical evidence from two series of experiments concerning automatic ambiguity resolution. ...
8p bunthai_1 06052013 13 2 Download

(BQ) Part 2 book "NMS national medical series for independent study surgery casebook" presents the following contents: Special issues (trauma, burns and sepsis, congenital anomalies).
105p thangnamvoiva5 14072016 2 1 Download

In this chapter, the basic concepts of independent component analysis (ICA) are deﬁned. We start by discussing a couple of practical applications. These serve as motivation for the mathematical formulation of ICA, which is given in the form of a statistical estimation problem. Then we consider under what conditions this model can be estimated, and what exactly can be estimated.
19p duongph05 09062010 61 16 Download

In the preceding chapters, we introduced several different estimation principles and algorithms for independent component analysis (ICA). In this chapter, we provide an overview of these methods. First, we show that all these estimation principles are intimately connected, and the main choices are between cumulantbased vs. negentropy/likelihoodbased estimation methods, and between oneunit vs. multiunit methods. In other words, one must choose the nonlinearity and the decorrelation method.
17p duongph05 09062010 94 15 Download

Tham khảo tài liệu 'independent component analysis p1', kỹ thuật  công nghệ, điện  điện tử phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
12p khinhkha 29072010 47 14 Download

This chapter deals with applications of independent component analysis (ICA) and blind source separation (BSS) methods to telecommunications. In the following, we concentrate on code division multiple access (CDMA) techniques, because this speciﬁc branch of telecommunications provides several possibilities for applying ICA and BSS in a meaningful way.
24p duongph05 09062010 73 13 Download

“Between modern web interfaces, server side technologies, and HTML5 games, JavaScript has never been a more important or versatile tool. To anyone just starting out with JavaScript or looking to deepen their knowledge of the practical core of the language, I would highly recommend Learning JavaScript.” —Evan Burchard, Independent Web Developer “Although I’ve read a couple of books about JavaScript before, as a backend developer, I was thrilled to see Tim Wright’s Learning JavaScript.
350p hoa_can 29012013 31 11 Download

Chapter 3 REFINEMENTS OF THE LIMIT THEOREMS FOR NORMAL CONVERGENCE § 1 . Introduction In this chapter we consider a sequence X 1 , X2 , . . . of independent, identically distributed random variables belonging to the domain of attraction of the normal law. As shown in § 2 .6, the X; necessarily have a finite variance a 2 .
26p dalatngaymua 30092010 54 10 Download

Chapter 7 RICHTER'S LOCAL THEOREMS AND BERNSTEIN'S INEQUALITY 1 . Statement of the theorems The theorems of this chapter do not have a collective character, and are related to Theorem 6 .1.1 . We shall consider a sequence of independent, identically distributed random variables XX
11p dalatngaymua 30092010 42 10 Download

In this chapter, we review central concepts of probability theory,statistics, and random processes. The emphasis is on multivariate statistics and random vectors. Matters that will be needed later in this book are discussed in more detail, including, for example, statistical independence and higherorder statistics.
43p duongph05 09062010 69 9 Download

A difﬁcult problem in independent component analysis (ICA) is encountered if the number of mixtures xi is smaller than the number of independent components si. This means that the mixing system is not invertible: We cannot obtain the independent components (ICs) by simply inverting the mixing matrix . Therefore, even if we knew the mixing matrix exactly, we could not recover the exact values of the independent components.
9p duongph05 09062010 56 9 Download

Independent Component Analysis. Aapo Hyv¨ rinen, Juha Karhunen, Erkki Oja a Copyright 2001 John Wiley & Sons, Inc. ISBNs: 047140540X (Hardback); 0471221317 begin_of_the_skype_highlighting 0471221317 end_of_the_skype_highlighting (Electronic) 18 Methods using Time Structure The model of independent component analysis (ICA) that we have considered so far consists of mixing independent random variables, usually linearly. In many applications, however, what is mixed is not random variables but time signals, or time series.
14p duongph05 09062010 49 9 Download

In this chapter, we present some additional extensions of the basic independent component analysis (ICA) model. First, we discuss the use of prior information on the mixing matrix, especially on its sparseness. Second, we present models that somewhat relax the assumption of the independence of the components.
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