# Probability models

Xem 1-20 trên 436 kết quả Probability models
• ### Lecture Advanced Econometrics (Part II) - Chapter 3: Discrete choice analysis - Binary outcome models

Lecture "Advanced Econometrics (Part II) - Chapter 3: Discrete choice analysis - Binary outcome models" presentation of content: Discrete choice model, basic types of discrete values, the probability models, estimation and inference in binary choice model, binary choice models for panel data.

• ### Báo cáo khoa học: "A Probability Model to Improve Word Alignment"

Word alignment plays a crucial role in statistical machine translation. Word-aligned corpora have been found to be an excellent source of translation-related knowledge. We present a statistical model for computing the probability of an alignment given a sentence pair. This model allows easy integration of context-speciﬁc features. Our experiments show that this model can be an effective tool for improving an existing word alignment.

• ### Ebook Fundamentals of algebraic modeling (5th edition): Part 2

(BQ) Part 2 book "Fundamentals of algebraic modeling - An introduction to mathematical modeling with algebra and statistics" has contents: Additional applications of algebraic modeling, modeling with systems of equations, probability models, modeling with statistics.

• ### Báo cáo khoa học: "General-to-Specific Model Selection for Subcategorization Preference*"

This paper proposes a novel method for learning probability models of subcategorization preference of verbs. We consider the issues of case dependencies and noun class generalization in a uniform way by employing the maximum entropy modeling method. We also propose a new model selection algorithm which starts from the most general model and gradually examines more specific models.

• ### Báo cáo lâm nghiệp: "A ﬁre probability model for forest stands in Catalonia (north east Spain)"

Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài: A ﬁre probability model for forest stands in Catalonia (north east Spain)...

• ### Báo cáo khoa học: "Setting Up User Action Probabilities in User Simulations for Dialog System Development"

User simulations are shown to be useful in spoken dialog system development. Since most current user simulations deploy probability models to mimic human user behaviors, how to set up user action probabilities in these models is a key problem to solve. One generally used approach is to estimate these probabilities from human user data. However, when building a new dialog system, usually no data or only a small amount of data is available.

• ### Báo cáo khoa học: "Prefix Probabilities from Stochastic Tree Adjoining Grammars*"

Language models for speech recognition typically use a probability model of the form Pr(an[al,a2,...,an-i). Stochastic grammars, on the other hand, are typically used to assign structure to utterances, A language model of the above form is constructed from such grammars by computing the prefix probability ~we~* Pr(al.-.artw), where w represents all possible terminations of the prefix al...an. The main result in this paper is an algorithm to compute such prefix probabilities given a stochastic Tree Adjoining Grammar (TAG). The algorithm achieves the required computation in O(n 6) time. ...

• ### Ebook Business statistics (2nd edition): Part 1

(BQ) Part 1 book "Business statistics" has contents: Statistics and variation, surveys and sampling, displaying and describing categorical data, displaying and describing quantitative data, correlation and linear regression, randomness and probability, random variables and probability models,...and other contents.

• ### Báo cáo lâm nghiệp: "A fire probability model for forest stands in Catalonia (north-east Spain)"

Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài:"A fire probability model for forest stands in Catalonia (north-east Spain)"

• ### Báo cáo khoa học: "Generative Models for Statistical Parsing with Combinatory Categorial Grammar"

This paper compares a number of generative probability models for a widecoverage Combinatory Categorial Grammar (CCG) parser. These models are trained and tested on a corpus obtained by translating the Penn Treebank trees into CCG normal-form derivations. According to an evaluation of unlabeled word-word dependencies, our best model achieves a performance of 89.9%, comparable to the ﬁgures given by Collins (1999) for a linguistically less expressive grammar. In contrast to Gildea (2001), we ﬁnd a significant improvement from modeling wordword dependencies. ...

• ### Chapter 4: Bayes Classifier

Chapter 4: Bayes Classifier present of you about The naïve Bayes Probabilistic model, Constructing a Classifier from the probability model, An application of Naïve Bayes Classifier, Bayesian network.

• ### McGraw.Hill.Building Financial Models

This book will teach you how to bring together what you know of finance, accounting, and the spreadsheet to give you a new skill—building financial models. The ability to create and unde stand models is one of the most valued skills in business an finance today. It’s an expertise that will stand you in good stea in any arena—Wall Street or Main Street—where numbers ar important. Whether you are a veteran, just starting out on you career, or still in school, having this expertise can give you competitive advantage in what you want to do....

• ### Foundations of Risk Analysis

This book is about foundational issues in risk and risk analysis; how risk should be expressed; what the meaning of risk is; how to understand and use models; how to understand and address uncertainty; and how parametric probability models like the Poisson model should be understood and used. A unifying and holistic approach to risk and uncertainty is presented, for different applications and disciplines.

• ### AIR POLLUTION – MONITORING, MODELLING AND HEALTH

Air pollution has always been a trans-boundary environmental problem and a matter of global concern for past many years. High concentrations of air pollutants due to numerous anthropogenic activities influence the air quality. There are many books on this subject, but the one in front of you will probably help in filling the gaps existing in the area of air quality monitoring, modelling, exposure, health and control, and can be of great help to graduate students professionals and researchers.

• ### .Probability for FinancePatrick Roger Strasbourg University, EM Strasbourg Business School May

Tham khảo sách '.probability for financepatrick roger strasbourg university, em strasbourg business school may', tài chính - ngân hàng, tài chính doanh nghiệp phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

• ### Báo cáo khoa học: "Unsupervised Bilingual Morpheme Segmentation and Alignment with Context-rich Hidden Semi-Markov Models"

This paper describes an unsupervised dynamic graphical model for morphological segmentation and bilingual morpheme alignment for statistical machine translation. The model extends Hidden Semi-Markov chain models by using factored output nodes and special structures for its conditional probability distributions. It relies on morpho-syntactic and lexical source-side information (part-of-speech, morphological segmentation) while learning a morpheme segmentation over the target language. Our model outperforms a competitive word alignment system in alignment quality. ...

• ### Báo cáo khoa học: "A Pylonic Decision-Tree Language Model with Optimal Question Selection"

This paper discusses a decision-tree approach to the problem of assigning probabilities to words following a given text. In contrast with previous decision-tree language model attempts, an algorithm for selecting nearly optimal questions is considered. The model is to be tested on a standard task, The Wall Street Journal, allowing a fair comparison with the well-known trigram model.

• ### Báo cáo khoa học: "Learning Phonological Rule Probabilities from Speech Corpora with Exploratory Computational Phonology"

This paper presents an algorithm for learning the probabilities of optional phonological rules from corpora. The algorithm is based on using a speech recognition system to discover the surface pronunciations of words in spe.ech corpora; using an automatic system obviates expensive phonetic labeling by hand. We describe the details of our algorithm and show the probabilities the system has learned for ten common phonological rules which model reductions and coarticulation effects.

• ### MULTISCALE MODELING FROM ATOMS TO DEVICES

In the quest for knowledge, it is not uncommon for researchers to push the limits of simulation techniques to the point where they have to be adapted or totally new techniques or approaches become necessary. True multiscale modeling techniques are becoming increasingly necessary given the growing interest in materials and processes on which large-scale properties are dependent or that can be tuned by their low-scale properties. An example would be nanocomposites, where embedded nanostructures completely change the matrix properties due to effects occurring at the atomic level.