4the markov chain model scenario
Tài liệu Probabilistic Inference Using Markov Chain Monte Carlo Methods doc
... of probabilistic inference in arti cial intelligence, present the theory of Markov chains, and describe various Markov chain Monte Carlo algorithms, along with a number of supporting techniques ... Carlo methods based on Markov chains is appropriate, and discuss why these problems are dicult to solve by other methods I also present the basics of the theory of Markov chains, and discuss recently ... based on Markov chains incorporate the required search aspect in a framework where it can be proved that the correct distribution is generated, at least in ( ( the limit as the length of the chain...
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Tài liệu Báo cáo khoa học: "Hidden Markov Tree Model in Dependency-based Machine Translation∗" pptx
... processing using hidden markov models IEEE Transactions on Signal Processing, 46(4):886–902 Michelangelo Diligenti, Paolo Frasconi, and Marco Gori 2003 Hidden tree Markov models for document image ... (source given target) node-to-node translation model HMTM transition probabilities can be interpreted as probabilities from the target-language tree model This is an important feature from the MT ... is an important feature from the MT viewpoint, since the decomposition into translation model and language model proved to be extremely useful in statistical MT since (Brown et al., 1993) It allows...
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Báo cáo khoa học: "A Preference-first Language Processor Integrating the Unification Grammar and Markov Language Model for Speech Recognition-ApplicationS" potx
... language processor consists of a language model and a parser The language model properly integrates the unification grammar and the Markov language model, while the parser is defined based on ... hypotheses The Laneua~e Model The goal of the language model is to participate in the selection of candidate constituents for a sentence to be identified The proposed language model is composed of ... 1986; Chien, 1990a) and a first-order Markov language model (Jelinek, 1976) and thus, combines many features of the grammatical and statistical language modeling approaches The PATR-II-Iike unification...
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Báo cáo hóa học: " Research Article Some Shannon-McMillan Approximation Theorems for Markov Chain Field on the Generalized Bethe Tree" docx
... we give a definition of Markov chain fields on the tree T by using the cylinder distribution directly, which is a natural extension of the classical definition of Markov chains see Definition 1.2 ... for Markov chain fields on trees,” IEEE Transactions on Information Theory, vol 48, no 1, pp 313–318, 2002 W Yang and Z Ye, “The asymptotic equipartition property for nonhomogeneous Markov chains ... nonhomogeneous markov chains indexed by a tree,” Journal of Inequalities and Applications, vol 2009, Article ID 503203, 2009 11 W Liu and W Yang, “Some strong limit theorems for Markov chain fields...
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measurement and comparison of credit risk by a markov chain an empirical investigation of bank loans in taiwan
... different Markov chain models, the discrete- and continuous-time models The different Markov chain models depend on the generation of transition matrices The discrete-time Markov chain model uses ... first Markov chain model applied to the transition matrix is the discrete-time Markov chain model based on annual migration frequencies Generally, estimation in a discrete-time Markov chain can ... differences of transition matrices generated by two distinct Markov chain models Model Specification 3.1 The discrete-time Markov chain model Let x t represent the credit rating of a bank’s borrower...
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Báo cáo toán học: "Exact Mixing in an Unknown Markov Chain" pptx
... mixing in an unknown Markov chain cannot be achieved in time less than h Notation and Preliminaries In what follows M = {pij } is the transition matrix for an irreducible Markov chain on the state ... for every Markov chain on n states, the distribution of the state where it stops is the stationary distribution Then it never stops without visiting all nodes Proof Consider any Markov chain M ... [3] D.J Aldous, On simulating a Markov chain stationary distribution when transition probabilities are unknown, prepint (1993) [4] D.J Aldous, Reversible Markov Chains and Random Walks on Graphs...
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Báo cáo sinh học: "Effective p-value computations using Finite Markov Chain Imbedding (FMCI): application to local score and to pattern statistics" potx
... = 9719) using either simple recurrences of finite Markov chain imbedding and in respect with an order m Markov model estimated on the genome Markov order word length h=3 h=5 h=3 m=1 h=4 h=5 h=3 ... easily extends to cases where X is an order m > Markov chain by modifying accordingly our vertex set For example, if we consider an order m = Markov model our vertex set becomes Page of 14 (page ... length h on a size k alphabet we get L = k + h - when an order Markov model is considered and L = km + h - m - for an order m > Markov model For a degenerate pattern of length h, L is more difficult...
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Báo cáo sinh học: "A markov classification model for metabolic pathways" docx
... Page of 3M Mixture of Markov Chains The 3M Markov mixture model assumes that pathway sequences can be represented with a mixture of first order Markov chains [9] The full model form spanning M ... through a mixture of Markov chains Markov mixture models such as 3M [9] directly search for dominant pathways within sequence data by assuming each mixture component is a Markov chain through a known ... the models are expected to differ because SVM and PLR not consider the Markov nature of the input pathways whereas HME3M explicitly models this property with a first order Markov mixture model...
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Markov functional model on a lattice
... Chapter Spot Rate Models HJM Model Market Rate Models 16 17 19 21 Markov- Functional Models 2.1 2.2 2.3 Chapter The Markov Process Caplets and Digital Caplets The LIBOR Markov- Functional Model 26 27 ... the spot rate models This is the general class of Markov- Functional models, introduced by Hunt, Kennedy and Pelsser (2000) The defining characteristic of the Markov- Functional models is the assumption ... Thus, they are examples of Markov- Functional models However, the model presented in this section is not going to model any instantaneous interest rates Rather, the model is calibrated to market...
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Báo cáo khoa học: "Techniques to incorporate the benefits of a Hierarchy in a modified hidden Markov model" pptx
... Introduction to Hidden Markov Models IEEE Acoustics Speech and Signal Processing ASSP Magazine, ASSP-3(1): 4–16, January M Skounakis, M Craven and S Ray 2003 Hierarchical Hidden Markov Models for Information ... flattening process to a model using observation sequences to determine high dependency values reduces the complexity of the model s hierarchy and consequently improves the model s accuracy The state ... 1998 The Hierarchical Hidden Markov Model: Analysis and Applications Machine Learning, 32:41–62 lationship between the occurance count of a state against the various models prediction accuracy...
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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
... discussion We have developed a method for prediction of coenzyme specificity, based upon hidden Markov models (HMMs) and sequence motifs (see Experimental proce1178 Fig Number of coenzyme binding ... von Heijne G & Sonnhammer EL (2001) Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes J Mol Biol 305, 567–580 16 Nilsson J, Persson B & von ... integral membrane proteins from 107 genomes Proteins 60, 606–616 17 Eddy SR (1998) Profile hidden Markov models Bioinformatics 14, 755–763 (http://hmmer.wustl.edu ) 18 Chandonia JM, Hon G, Walker NS,...
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Báo cáo khoa học: "A MARKOV LANGUAGE LEARNING MODEL FOR FINITE PARAMETER SPACES" pptx
... r b i n g S t a t e (AS) in the Markov literature Clearly, one can conclude at once the following important learnability result: T h e o r e m Given a Markov chain C corresponding to a G W TLA ... alternatives below L1 L1 L2 L3 L4 Ls L6 L2 ! L3 L4 L5 L6 L7 Ls 1 L7 CONVERGENCE TIMES FOR THE MARKOV CHAIN MODEL Ls We see that if the learner starts out in states or 4, it will certainly end up in ... with confidence greater than - ( Here bt = P(Lt \ Uj~tLj)) Finally, the Markov model also points to an intriguing new model for syntactic change One simply has to introduce two or more target...
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Báo cáo khoa học: "PART-OF-SPEECH TAGGING USING A VARIABLE MEMORY MARKOV MODEL" doc
... known that Markov models of order give a slight improvement over order-1 models (Charniak et al., 1993), the number of parameters in our model is much smaller than in a full order-2 Markov model (49"184 ... memory Markov model cannot capture the recursive nature of natural language The VMM can accommodate longer statistical dependencies than a traditional full-order Markov model, but due to its Markovian ... part-of-speech tagging using a hidden Markov model, Computer Speech and Language, Vol 6, pp 225-242, 1992 L.R Rabiner and B H Juang, An Introduction to Hidden Markov Models, IEEE ASSP Magazine, Vol...
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Báo cáo khoa học: Classification of the short-chain dehydrogenase ⁄reductase superfamily using hidden Markov models potx
... Biological sequence analysis: probabilistic models of proteins and nucleic acids Cambridge University Press, Cambridge 26 Eddy SR (1998) Profile hidden Markov models Bioinformatics 14, 755–763 FEBS ... protein) reductase Short -chain dehydrogenase ⁄ reductase family SDR130C 17b-Hydroxysteroid dehydrogenase (SDR37C) SDR39U with unknown substrate specificity Putative short -chain type alcohol dehydrogenase ... diversity within the short -chain dehydrogenase ⁄ reductase (SDR) superfamily Cell Mol Life Sci 65, 3895–3906 Persson B, Krook M & Jornvall H (1991) Characteris¨ tics of short -chain alcohol dehydrogenases...
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thesis-a hidden markov model based approach for face detection and recognition
... Tracking Best Face Selection Foregroround Regions Video Sequence Background Segmentation Background Model Background Adaptation ệ ẵ ầ ệ éé ì ìì ééí ì éể ỉ ểề ể ềé ềỉ ỉể ỉ ỉỉ ề ểéểệ ẹ ểệẹ ì ễễệểĩ ẹ ... ìỉ ề é ì é ỉểề ỉ ề ỉ ệ ỉ ễ ểễé ì ỉ ểề ểệệ ìễểề ì ỉể ệ ểệ ềỉ ệỉ ề ệ ééí ệí ééí ặ éỉ Foreground Model Foreground Region Edge Detection and Skeletonization Initial Ellipse Centroid Estimation Error...
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Designing a supply chain Proposition for improving quality and overall productivity of enterprises using business model
... In general, supply chains are broadly classified into three categories: • Lean supply chain • Agile supply chain • Hybrid supply chain 31 2.9.1 Lean supply chains Lean supply chains adopt lean ... Supply chain Finance Figure 2-5 Competitive strategies and influence on supply chain design, (Mentzer et al., 2001) 2.7 SUPPLY CHAIN DRIVERS The supply chain drivers often determine the supply chains ... Operational 29 2.9 SUPPLY CHAIN STRATEGIES AND FIT 31 2.9.1 Lean supply chains 32 2.9.2 Agile supply chains 32 2.9.3 Hybrid supply chains 32 2.10 QUALITY...
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Báo cáo sinh học: " Prevention of genital herpes in a guinea pig model using a glycoprotein D-specific single chain antibody as a microbicide" pptx
... anti-gD single chain antibodies The results were consistent with reconstitution of the original Bacterial expression and extraction of anti-gD single chain antibodies The single chain antibodies ... designed to anneal either to mouse kappa light chain or heavy chain constant region sequences, just downstream of the J-C junction (table 1) Light and heavy chain hypervariable regions (VL and VH) were ... kappa (light chain) and gamma (heavy chain) signal or framework sequences (table 1) In practice, pools of 11 degenerate OGN sequences were found to be sufficient to prime 100% of kappa chain reactions...
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báo cáo hóa học:" Prevention of genital herpes in a guinea pig model using a glycoprotein D-specific single chain antibody as a microbicide" pdf
... anti-gD single chain antibodies The results were consistent with reconstitution of the original Bacterial expression and extraction of anti-gD single chain antibodies The single chain antibodies ... designed to anneal either to mouse kappa light chain or heavy chain constant region sequences, just downstream of the J-C junction (table 1) Light and heavy chain hypervariable regions (VL and VH) were ... kappa (light chain) and gamma (heavy chain) signal or framework sequences (table 1) In practice, pools of 11 degenerate OGN sequences were found to be sufficient to prime 100% of kappa chain reactions...
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báo cáo hóa học:" The net cost of incorporating resistance testing into HIV/AIDS treatment in South Africa: a Markov model with primary data" pot
... was to model the net cost of such a strategy, using data from a large public sector treatment facility in Johannesburg Methods Model We developed a state-transition decision (Markov) model to ... first-line therapy Model output Table reports the cumulative proportions of virological failure, non-resistance and second-line treatment at the end of the five-year modelling period for each scenario ... that of the RM scenario In the LT scenario, the total average cost per patient over five years is $2763 ($553/ year) (95% SI $2743-2783), slightly less than the cost of the other scenarios Using...
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