Distributed random

Xem 1-20 trên 95 kết quả Distributed random
• Báo cáo "On the stability of the distribution function of the composed random variables by their index random variable "

Let us consider the composed random variable η = k=1 ξk , where ξ1 , ξ2 , ... are independent identically distributed random variables and ν is a positive value random, independent of all ξk . In [1] and [2], we gave some the stabilities of the distribution function of η in the following sense: the small changes in the distribution function of ξ k only lead to the small changes in the distribution function of η. In the paper, we investigate the distribution function of η when we have the small changes of the distribution of ν. ...

6p tuanlocmuido 19-12-2012 20 1   Download

• Kinh tế ứng dụng_ Lecture 1: Normal Distribution

For many random variables, the probability distribution is a specific bell-shaped curve, called the normal curve, or Gaussian curve. This is the most common and useful distribution in statistics. 1) Standard normal distribution The standard normal distribution has the probability density function as follows:

7p truongdoan 10-11-2009 106 13   Download

• Independent And Stationary Sequences Of Random Variables - Chapter 3

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 30-09-2010 56 10   Download

• Independent And Stationary Sequences Of Random Variables - Chapter 7

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 30-09-2010 49 10   Download

• Independent And Stationary Sequences Of Random Variables - Chapter 12

Chapter 12 WIDE MONOMIAL ZONES OF INTEGRAL NORMAL ATTRACTION 1 . Formulation In this chapter, as before, we study the independent, identixally distributed random variables X1, X2, . . . with E (Xi) = 0, V (Xl) = 1 . We shall study the zone [0, n"] where a 6 ; we recall that this is said to be a zone of normal attraction if,

18p dalatngaymua 30-09-2010 67 9   Download

• Independent And Stationary Sequences Of Random Variables - Chapter 4

Chapter 4 LOCAL LIMIT THEOREMS § 1. Formulation of the problem Suppose that the independent, identically distributed random variables X1 , X2 ,. . . . have a lattice distribution with interval h, so that the sum Zn = X1 + X2 + . . . + X„ takes values in the arithmetic progression {na + kh ; k = 0, ± 1, . . . } .

19p dalatngaymua 30-09-2010 52 8   Download

• Independent And Stationary Sequences Of Random Variables - Chapter 6

Chapter 6 LIMIT THEOREMS FOR LARGE DEVIATIONS § 1 . Introduction and examples In this and succeeding chapters we shall examine the simplest problems in the theory of large deviations . Let X1 , X2 ,. . . be independent, identically distributed random variables, with E(X1) = 0

6p dalatngaymua 30-09-2010 44 8   Download

• Đề tài " Invertibility of random matrices: norm of the inverse "

Let A be an n × n matrix, whose entries are independent copies of a centered random variable satisfying the subgaussian tail estimate. We prove that the operator norm of A−1 does not exceed Cn3/2 with probability close to 1. 1. Introduction Let A be an n × n matrix, whose entries are independent, identically distributed random variables. The spectral properties of such matrices, in particular invertibility, have been extensively studied (see, e.g. [M] and the survey [DS]).

28p dontetvui 17-01-2013 23 6   Download

• Independent And Stationary Sequences Of Random Variables

This chapter is of an introductory nature, its purpose being to indicate some concepts and results from the theory of probability which are used in later chapters . Most of these are contained in Chapters 1-9 of Gnedenko [47], and will therefore be cited without proof. The first section is somewhat isolated, and contains a series of results from the foundations of the theory of probability. A detailed account may be found in [76], or in Chapter I of [31] . Some of these will not be needed in the first part of the book, in which attention is confined to independent random variables ....

0p denngudo 21-06-2012 29 5   Download

• Probability Examples c-3 Random variables II

Tham khảo sách 'probability examples c-3 random variables ii', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

116p sn_buon 29-11-2012 27 3   Download

• Probability Examples c-4 Random variables III

Tham khảo sách 'probability examples c-4 random variables iii', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

113p sn_buon 29-11-2012 29 3   Download

• Báo cáo khoa học: "A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation"

This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence syntactic structure, and long-span document semantic content under a directed Markov random ﬁeld paradigm.

10p hongdo_1 12-04-2013 30 3   Download

• Báo cáo khoa học: "Words and Echoes: Assessing and Mitigating the Non-Randomness Problem in Word Frequency Distribution Modeling"

Frequency distribution models tuned to words and other linguistic events can predict the number of distinct types and their frequency distribution in samples of arbitrary sizes. We conduct, for the ﬁrst time, a rigorous evaluation of these models based on cross-validation and separation of training and test data. Our experiments reveal that the prediction accuracy of the models is marred by serious overﬁtting problems, due to violations of the random sampling assumption in corpus data. We then propose a simple pre-processing method to alleviate such non-randomness problems. ...

8p hongvang_1 16-04-2013 26 2   Download

• Báo cáo khoa học: "Logarithmic Opinion Pools for Conditional Random Fields"

Recent work on Conditional Random Fields (CRFs) has demonstrated the need for regularisation to counter the tendency of these models to overﬁt. The standard approach to regularising CRFs involves a prior distribution over the model parameters, typically requiring search over a hyperparameter space. In this paper we address the overﬁtting problem from a different perspective, by factoring the CRF distribution into a weighted product of individual “expert” CRF distributions. We call this model a logarithmic opinion pool (LOP) of CRFs (LOP-CRFs).

8p bunbo_1 17-04-2013 17 2   Download

• Báo cáo khoa học: "Power-Law Distributions for Paraphrases Extracted from Bilingual Corpora"

We describe a novel method that extracts paraphrases from a bitext, for both the source and target languages. In order to reduce the search space, we decompose the phrase-table into sub-phrase-tables and construct separate clusters for source and target phrases. We convert the clusters into graphs, add smoothing/syntacticinformation-carrier vertices, and compute the similarity between phrases with a random walk-based measure, the commute time.

10p bunthai_1 06-05-2013 20 2   Download

• Báo cáo khoa học: "Randomized Language Models via Perfect Hash Functions"

We propose a succinct randomized language model which employs a perfect hash function to encode ﬁngerprints of n-grams and their associated probabilities, backoff weights, or other parameters. The scheme can represent any standard n-gram model and is easily combined with existing model reduction techniques such as entropy-pruning. We demonstrate the space-savings of the scheme via machine translation experiments within a distributed language modeling framework. h

9p hongphan_1 15-04-2013 22 1   Download

• Báo cáo khoa học: "Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields"

This paper presents a semi-supervised training method for linear-chain conditional random ﬁelds that makes use of labeled features rather than labeled instances. This is accomplished by using generalized expectation criteria to express a preference for parameter settings in which the model’s distribution on unlabeled data matches a target distribution. We induce target conditional probability distributions of labels given features from both annotated feature occurrences in context and adhoc feature majority label assignment. ...

9p hongphan_1 15-04-2013 21 1   Download

• Báo cáo khoa học: "A Figure of Merit for the Evaluation of Web-Corpus Randomness"

In this paper, we present an automated, quantitative, knowledge-poor method to evaluate the randomness of a collection of documents (corpus), with respect to a number of biased partitions. The method is based on the comparison of the word frequency distribution of the target corpus to word frequency distributions from corpora built in deliberately biased ways. We apply the method to the task of building a corpus via queries to Google.

8p bunthai_1 06-05-2013 11 1   Download

• Lectures Applied statistics for business: Chapter 5 - ThS. Nguyễn Tiến Dũng

Lectures "Applied statistics for business - Chapter 5: Discrete probability distributions" provides students with the knowledge: Random variables, developing discrete probability distributions, expected value and variance, expected value and variance financial portfolios,... Invite you to refer to the disclosures.

34p doinhugiobay_13 26-01-2016 10 1   Download

• Lecture Quantiative methods for bussiness - Chapter 3A: Probability distributions

Lecture Quantiative methods for bussiness - Chapter 3A presents probability distributions. This chapter includes the following content: Random variables, discrete probability distributions, binomial probability distribution, poisson probability distribution.

33p allbymyself_06 27-01-2016 6 2   Download