Models for data

“ A Developer’s Guide to Data Modeling for SQL Server explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and datadriven applications. “Eric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If you’re new to data modeling, or find the need to brush up on its concepts, this book is for you.” —Peter Varhol, Executive Editor, Redmond Magazine ...
299p ringphone 06052013 24 8 Download

We address the problem of selecting nondomainspeciﬁc language model training data to build auxiliary language models for use in tasks such as machine translation. Our approach is based on comparing the crossentropy, according to domainspeciﬁc and nondomainspecifc language models, for each sentence of the text source used to produce the latter language model. We show that this produces better language models, trained on less data, than both random data selection and two other previously proposed methods. ...
5p hongdo_1 12042013 19 2 Download

Lecture "Advanced Econometrics (Part II)  Chapter 6: Models for count data" presentation of content: Poisson regression model, goodness of fit, overdispersion, negative binomial regression model, too many zeros data.
7p nghe123 06052016 13 2 Download

This book is intended to introduce environmental scientists and managers to the statistical methods that will be useful for them in their work. A secondary aim was to produce a text suitable for a course in statistics for graduate students in the environmental science area. I wrote the book because it seemed to me that these groups should really learn about statistical methods in a special way. It is true that their needs are similar in many respects to those working in other areas.
285p crazy_sms 10052012 94 38 Download

This Second Edition of the goto reference combines the classical analysis and modern applications of applied mathematics for chemical engineers. The book introduces traditional techniques for solving ordinary differential equations (ODEs), adding new material on approximate solution methods such as perturbation techniques and elementary numerical solutions. It also includes analytical methods to deal with important classes of finitedifference equations. The last half discusses numerical solution techniques and partial differential equations (PDEs). The read...
0p la_la123 05042013 28 9 Download

IBML Data Modeling Techniques for Data Warehousing Chuck Ballard, Dirk Herreman, Don Schau, Rhonda Bell, Eunsaeng Kim, Ann Valencic International Technical Support Organization http://www.redbooks.ibm.com SG24223800 ..IBML International Technical Support Organization SG24223800 Data Modeling Techniques for Data Warehousing February 1998 .Take Note! Before using this information and the product it supports, be sure to read the general information in Appendix B, “Special Notices” on page 183.
216p ptng13 17052012 29 4 Download

We present a global joint model for lemmatization and partofspeech prediction. Using only morphological lexicons and unlabeled data, we learn a partiallysupervised partofspeech tagger and a lemmatizer which are combined using features on a dynamically linked dependency structure of words. We evaluate our model on English, Bulgarian, Czech, and Slovene, and demonstrate substantial improvements over both a direct transduction approach to lemmatization and a pipelined approach, which predicts partofspeech tags before lemmatization. ...
9p hongphan_1 14042013 17 3 Download

Morphological processes in Semitic languages deliver spacedelimited words which introduce multiple, distinct, syntactic units into the structure of the input sentence. These words are in turn highly ambiguous, breaking the assumption underlying most parsers that the yield of a tree for a given sentence is known in advance. Here we propose a single joint model for performing both morphological segmentation and syntactic disambiguation which bypasses the associated circularity.
9p hongphan_1 15042013 19 3 Download

The applicability of many current information extraction techniques is severely limited by the need for supervised training data. We demonstrate that for certain ﬁeld structured extraction tasks, such as classiﬁed advertisements and bibliographic citations, small amounts of prior knowledge can be used to learn effective models in a primarily unsupervised fashion. Although hidden Markov models (HMMs) provide a suitable generative model for ﬁeld structured text, general unsupervised HMM learning fails to learn useful structure in either of our domains.
8p bunbo_1 17042013 21 3 Download

In this paper, a new language model, the MultiClass Composite Ngram, is proposed to avoid a data sparseness problem for spoken language in that it is difﬁcult to collect training data. The MultiClass Composite Ngram maintains an accurate word prediction capability and reliability for sparse data with a compact model size based on multiple word clusters, called MultiClasses. In the MultiClass, the statistical connectivity at each position of the Ngrams is regarded as word attributes, and one word cluster each is created to represent the positional attributes. ...
8p bunrieu_1 18042013 26 3 Download

We propose a novel reordering model for phrasebased statistical machine translation (SMT) that uses a maximum entropy (MaxEnt) model to predicate reorderings of neighbor blocks (phrase pairs). The model provides contentdependent, hierarchical phrasal reordering with generalization based on features automatically learned from a realworld bitext. We present an algorithm to extract all reordering events of neighbor blocks from bilingual data.
8p hongvang_1 16042013 21 2 Download

We present a generative distributional model for the unsupervised induction of natural language syntax which explicitly models constituent yields and contexts. Parameter search with EM produces higher quality analyses than previously exhibited by unsupervised systems, giving the best published unsupervised parsing results on the ATIS corpus. Experiments on Penn treebank sentences of comparable length show an even higher F1 of 71% on nontrivial brackets. We compare distributionally induced and actual partofspeech tags as input data, and examine extensions to the basic model.
8p bunmoc_1 20042013 13 2 Download

EUFID is a natural language frontend for data management systems. It is modular and table driven so that it can be interfaced to different applications and data management systems. It allows a user to query his data base in natural English, including sloppy syntax and misspellings. The tables contain a data management system view of the data base, a semantic/syntactic view of the application, and a mapping from the second to the first. We are entering a new era in data base access. Computers and terminals have come down in price while salaries have risen. ...
4p bungio_1 03052013 17 2 Download

Lecture "Advanced Econometrics (Part II)  Chapter 10: Models for panel data" presentation of content: General framework for panel data, pooled regression, fixed effects, random effects model, choosing between fixed and random effects models, finding big.
0p nghe123 06052016 9 2 Download

The traditional mentionpair model for coreference resolution cannot capture information beyond mention pairs for both learning and testing. To deal with this problem, we present an expressive entitymention model that performs coreference resolution at an entity level. The model adopts the Inductive Logic Programming (ILP) algorithm, which provides a relational way to organize different knowledge of entities and mentions.
9p hongphan_1 15042013 15 1 Download

4.2.3 MTMF MTMF combines the best parts of the Linear Spectral Mixing model and the statistical Matched Filter model while avoiding the drawbacks of each parent method (Boardman, 1998). It is a useful Matched Filter method without knowing all the possible endmembers in a landscape especially in case of subtle, subpixel occurrences. Firstly, pixel spectra and endmember spectra require a minimum noise fraction (MNF) (Green et al., 1988, Boardman, 1993) transformation. MNF reduces and separates an image into its most dimensional and nonnoisy components.
464p lulanphuong 22032012 115 39 Download

The DataLink layer is the protocol layer in a program that handles the moving of data in and out across a physical link in a network. The DataLink layer is layer 2 in the Open Systems Interconnect (OSI) model for a set of telecommunication protocols.The DataLink layer ensures that an initial connection has been set up, divides output data into data frames, and handles the acknowledgements from a receiver that the data arrived successfully. It also ensures that incoming data has been received successfully by analyzing bit patterns at special places in the frames....
64p thanhtq00103 08062011 76 12 Download

Given a collection of records (training set ) Each record contains a set of attributes, one of the attributes is the class. Find a model for class attribute as a function of the values of other attributes. Goal: previously unseen records should be assigned a class as accurately as possible. A test set is used to determine the accuracy of the model. Usually, the given data set is divided into training and test sets, with training set used to build the model and test set used to validate it.
101p trinh02 18012013 43 8 Download

This report provides basic data concerning the development of plantation sawlogs glue in central and northern Vietnam, logging, harvesting and transportation, and processing of sawn boards in a sawmill. Planting Acacia pulpwood to appear as a profitable enterprise for smallscale farms, many of them are prepared to borrow from banks to establish plantations. Acacia hybrid clones are the materials most popular varieties. A simple spreadsheet financial model for pulpwood development has been developed that internal rate of return can be as high as 24% in basic conditions....
19p xau_la 10022012 28 7 Download

All geographic information systems (GIS) are built using formal models that describe how things are located in space. A formal model is an abstract and welldefined system of concepts. It defines the vocabulary that we can use to describe and reason about things. A geographic data model defines the vocabulary for describing and reasoning about the things that are located on the earth. Geographic data models serve as the foundation on which all geographic information systems are built. We are all familiar with one model for geographic information—the map.
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