hidden markov tree modeling of complex wavelet transforms
Tài liệu Báo cáo khoa học: "Hidden Markov Tree Model in Dependency-based Machine Translation∗" pptx
... Hid-den Markov Tree Models (HMTM), whichare to our knowledge still unexploited inthe field of Computational Linguistics, inspite of highly successful Hidden Markov (Chain) Models. In dependency trees,the ... de-pendency trees. Moreover, analogously to applica-tions of HMM on sequence labeling, HMTM canbe used for labeling nodes of a dependency tree, interpreted as revealing the hidden states1in the tree ... restorethe most probable hidden tree labeling given theobserved tree labeling (and given the tree topol-ogy, of course). As shown in (Durand et al., 2004),a modification of the HMM Viterbi algorithm...
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Báo cáo khoa học: "Techniques to incorporate the benefits of a Hierarchy in a modified hidden Markov model" pptx
... between hidden Markov models(HMM) and hierarchical hidden Markov models (HHMM). The HHMM structureallows repeated parts of the model to bemerged together. A merged model takesadvantage of the ... natu-ral language, hidden Markov models.1 Introduction Hidden Markov models (HMMs) were introducedin the late 1960s, and are widely used as a prob-abilistic tool for modeling sequences of obser-vations ... use of the word infor-mation contained in the sentence.4.2 Grammar ParsingCreation of a parse tree involves describing lan-guage grammar in a tree representation, whereeach path of the tree...
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DISCRETE WAVELET TRANSFORMS - A COMPENDIUM OF NEW APPROACHES AND RECENT APPLICATIONS pdf
... recovered to the same level of the standardseparable DWTs of JPEG 2000. It means that the finite word length problem peculiar to theDiscrete Wavelet Transforms - A Compendium of New Approaches and ... between input and output of the forward transform is expressed asDiscrete Wavelet Transforms - A Compendium of New Approaches and Recent Applications4Figure 13. Derivation of double non separable ... free online edition of this book is available at www.intechopen.comAdditional hard copies can be obtained from orders@intechopen.comDiscrete Wavelet Transforms - A Compendium of New Approaches...
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Báo cáo khoa học: Prediction of coenzyme specificity in dehydrogenases ⁄ reductases A hidden Markov model-based method and its application on complete genomes doc
... therein).The residues at the end of the b2strand normallyguide identification of the nature of the coenzyme, i.e.if an enzyme binds FAD, NAD or NADP. In general,the presence of a negatively charged ... developed a method for prediction of coen-zyme specificity, based upon hidden Markov models(HMMs) and sequence motifs (see Experimental proce-dures). To the best of our knowledge there is no pre-diction ... 1% of the eukaryotic proteinsand 3% of the prokaryotic proteins. As expected, thenumber of predicted coenzyme binding proteins withina genome increases with its size (Fig. 1). The numberof...
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Báo cáo khoa học: Classification of the short-chain dehydrogenase ⁄reductase superfamily using hidden Markov models potx
... surprisingly, giventhat the majority of the families are classical, 36% of the proteins are of the extended type. This means thatmany of the largest families are of the extended type.Classical SDRs ... families,and facilitate collection of knowledge on the structuraland functional properties of one of the largest proteinfamilies known to date.Experimental proceduresA number of HMMs were developed in ... many(or even all) of these enzymes are medically important.However, the functions of about half of the humanSDR enzymes are unknown.The SDR superfamily has grown by several orders of magnitude,...
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Hydraulic modeling of open channel flows over an arbitrary 3-d surface and its applications in amenity hydraulic engineering
... plot of water surface in 2D simulation of Exp-1 …………….95 Figure 6.35 Carpet plot of water surface in 2D simulation of Exp-2…………… 95 Figure 6.36 Carpet plot of water surface in 2D simulation of ... plot of water surface in 2D simulation of Exp-4…………… 96 Figure 6.38 Carpet plot of water surface in 2D simulation of Exp-5…………… 97 Figure 6.39 Carpet plot of water surface in 2D simulation of ... surface profile analysis of open channel flows over a circular surface. Journal of Applied Mechanics, JSCE, Vol. 8, pp 847-854, 2005. 5. Anh T. N. and Hosoda T.: Free surface profile analysis of flows...
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Tài liệu Modeling of Data part 1 pptx
... measure of goodness -of- fit. When the third item suggests that the modelis an unlikely match to the data, then items (i) and (ii) are probably worthless.Unfortunately, many practitioners of parameter ... RECIPES IN C: THE ART OF SCIENTIFIC COMPUTING (ISBN 0-521-43108-5)Copyright (C) 1988-1992 by Cambridge University Press.Programs Copyright (C) 1988-1992 by Numerical Recipes Software. Permission ... based on? The answerto these questions takes us into the subject of maximum likelihood estimators.Given a particular data set of xi’s and yi’s, we have the intuitive feeling thatsome parameter...
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Tài liệu Modeling of Data part 2 doc
... distribution is often rather poorly realized, if it isrealized at all. We are often taught, rather casually, that, on average, measurementswill fall within ±σ of the true value 68 percent of the time, ... time, within ±2σ 95 percent of the time, and within ±3σ 99.7 percent of the time. Extending this, one wouldexpect a measurement to be off by ±20σ only one time out of 2 × 1088.Weallknow that ... that thestandard deviations σ of these normal distributionsare the same for all points. Thenthe probability of the data set is the product of the probabilities of each point,P ∝Ni=1exp−12yi−...
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Tài liệu Modeling of Data part 3 docx
... problem of fitting a set of N data points (xi,yi)toa straight-line modely(x)=y(x;a, b)=a+bx (15.2.1)666Chapter 15. Modeling of DataSample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC ... variance of the linear combination yi− a − bxi of two randomvariables xiand yi,Var( yi− a − bxi)=Var( yi)+b2Var( xi)=σ2yi+b2σ2xi≡1/wi(15.3.3)The sum of the square of N ... 662Chapter 15. Modeling of DataSample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC COMPUTING (ISBN 0-521-43108-5)Copyright (C) 1988-1992...
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Tài liệu Modeling of Data part 4 pptx
... float *xx,*yy,*sx,*sy,*ww,aa,offs;float chixy(float bang)Captive function of fitexy, returns the value of (χ2−offs) for the slopeb=tan(bang).Scaled data andoffsare communicated via the ... variance of the linear combination yi− a − bxi of two randomvariables xiand yi,Var(yi− a − bxi)=Var(yi)+b2Var(xi)=σ2yi+b2σ2xi≡1/wi(15.3.3)The sum of the square of N ... of varying b, successful numerical root-findingleads to a value of ∆a that minimizes χ2for the value of ∆b that gives ∆χ2=1.This(seeFigure 15.3.1) directly gives the tangent projection of...
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Tài liệu Modeling of Data part 5 doc
... combinations of the columns of V, with coefficients obtained by forming dot products of the columns672Chapter 15. Modeling of DataSample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC ... thestandard deviationsof themeasureddependentvariable.The measured values of the dependent variable do not enter the design matrix.Solution by Use of the Normal EquationsThe minimum of (15.4.3) occurs ... vector of length M.The equations (15.4.6) or (15.4.7) are called the normal equations of the least-squares problem. They can be solved for the vector of parameters a by the standardmethods of...
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- modeling of ring resonators
- stochastic modeling of language
- logical form of complex sentences
- visual information based on hidden markov models
- hidden markov tree model
- a geometric hidden markov tree wavelet model
- decision tree hidden markov model
- hidden markov tree models for semantic class induction
- hidden markov tree model of contourlet transform
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