hidden markov tree modeling of complex wavelet transforms

... Hid- den Markov Tree Models (HMTM), which are to our knowledge still unexploited in the field of Computational Linguistics, in spite 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 can be used for labeling nodes of a dependency tree, interpreted as revealing the hidden states 1 in the tree ... restore the most probable hidden tree labeling given the observed tree labeling (and given the tree topol- ogy, of course). As shown in (Durand et al., 2004), a modification of the HMM Viterbi algorithm...

Ngày tải lên: 20/02/2014, 09:20

Ngày tải lên: 18/04/2014, 10:20

... between hidden Markov models (HMM) and hierarchical hidden Markov models (HHMM). The HHMM structure allows repeated parts of the model to be merged together. A merged model takes advantage of the ... natu- ral language, hidden Markov models. 1 Introduction Hidden Markov models (HMMs) were introduced in 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 Parsing Creation of a parse tree involves describing lan- guage grammar in a tree representation, where each path of the tree...

Ngày tải lên: 08/03/2014, 02:21

... recovered to the same level of the standard separable DWTs of JPEG 2000. It means that the finite word length problem peculiar to the Discrete Wavelet Transforms - A Compendium of New Approaches and ... between input and output of the forward transform is expressed as Discrete Wavelet Transforms - A Compendium of New Approaches and Recent Applications4 Figure 13. Derivation of double non separable ... free online edition of this book is available at www.intechopen.com Additional hard copies can be obtained from orders@intechopen.com Discrete Wavelet Transforms - A Compendium of New Approaches...

Ngày tải lên: 23/03/2014, 03:20

... therein). The residues at the end of the b 2 strand normally guide 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 proteins and 3% of the prokaryotic proteins. As expected, the number of predicted coenzyme binding proteins within a genome increases with its size (Fig. 1). The number of...

Ngày tải lên: 23/03/2014, 10:21

... surprisingly, given that the majority of the families are classical, 36% of the proteins are of the extended type. This means that many of the largest families are of the extended type. Classical SDRs ... families, and facilitate collection of knowledge on the structural and functional properties of one of the largest protein families known to date. Experimental procedures A number of HMMs were developed in ... many (or even all) of these enzymes are medically important. However, the functions of about half of the human SDR enzymes are unknown. The SDR superfamily has grown by several orders of magnitude,...

Ngày tải lên: 29/03/2014, 09:20

Ngày tải lên: 22/06/2014, 23:20

Ngày tải lên: 23/06/2014, 01:20

Ngày tải lên: 23/06/2014, 01:20

... 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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Ngày tải lên: 14/12/2013, 12:15

... measure of goodness -of- fit. When the third item suggests that the model is 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 answer to these questions takes us into the subject of maximum likelihood estimators. Given a particular data set of x i ’s and y i ’s, we have the intuitive feeling that some parameter...

Ngày tải lên: 15/12/2013, 04:15

... distribution is often rather poorly realized, if it is realized at all. We are often taught, rather casually, that, on average, measurements will 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 would expect a measurement to be off by ±20σ only one time out of 2 × 10 88 .Weall know that ... that the standard deviations σ of these normal distributionsare the same for all points. Then the probability of the data set is the product of the probabilities of each point, P ∝ N  i=1  exp  − 1 2  y i −...

Ngày tải lên: 15/12/2013, 04:15

... problem of fitting a set of N data points (x i ,y i )to a straight-line model y(x)=y(x;a, b)=a+bx (15.2.1) 666 Chapter 15. Modeling of Data Sample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC ... variance of the linear combination y i − a − bx i of two random variables x i and y i , Var( y i − a − bx i )=Var( y i )+b 2 Var( x i )=σ 2 yi +b 2 σ 2 xi ≡1/w i (15.3.3) The sum of the square of N ... 662 Chapter 15. Modeling of Data Sample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC COMPUTING (ISBN 0-521-43108-5) Copyright (C) 1988-1992...

Ngày tải lên: 15/12/2013, 04:15

... float *xx,*yy,*sx,*sy,*ww,aa,offs; float chixy(float bang) Captive function of fitexy , returns the value of (χ 2 − offs ) for the slope b=tan(bang) . Scaled data and offs are communicated via the ... variance of the linear combination y i − a − bx i of two random variables x i and y i , Var(y i − a − bx i )=Var(y i )+b 2 Var(x i )=σ 2 yi +b 2 σ 2 xi ≡1/w i (15.3.3) The sum of the square of N ... of varying b, successful numerical root-finding leads to a value of ∆a that minimizes χ 2 for the value of ∆b that gives ∆χ 2 =1.This(see Figure 15.3.1) directly gives the tangent projection of...

Ngày tải lên: 15/12/2013, 04:15