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probabilistic model

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Applying probabilistic model for ranking Webs in multi-context

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In PageRank probabilistic model, the links and webs are uniform, so the rank score of webs are quite independent from their content. The basic idea in establishing the new MPageRank model is that partition our Web graph into smaller-size sub Web graph. As a consequence of evaluation and rejection about pages influence weakly to other pages, the rank score of pages of the original Web graph can be approximated from the rank score of pages in the new partition Web graph.

ENIGMA: An enterotype-like unigram mixture model for microbial association analysis

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Here, we introduce a novel probabilistic model of a microbial community structures, named as ENIGMA (Enterotype-like uNIGram mixture model for Micro- bial Association analysis), to address these problems.. One of the most important features of our model is that the group effects are independent of the effects of interest. This enables the separation of interindividual variability and fixed effects of the host properties related to disease risk..

STT Mã sinh viên

www.academia.edu

classifiers Hoàng Quốc Vương 6 Ensemble methods Trương Hoàng Xa 9 Probabilistic model-based clustering

Experimental validation of in silico predicted RAD locus frequencies using genomic resources and short read data from a model marine mammal

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As mentioned above, this may be due to the high degree of completeness of the fur seal transcriptome assembly, which could potentially pro- vide a relatively precise estimation of the genomic nucleotidic composition and in turn produce better estimates when a probabilistic model more complex than the GC content or mononucleotide model are applied..

47 Speech Recognition by Machine

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When the reference pattern consists of a probabilistic model, such as an HMM, the process of pattern matching is equivalent to using the statistical knowledge contained in the probabilistic model to assess the likelihood of the speech (which led to the model) being realized as the unknown pattern.. FIGURE 47.4: Results of time aligning two versions of the word “seven”, showing linear alignment of the two utterances (top panel).

Digital Signal Processing Handbook P47

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When the reference pattern consists of a probabilistic model, such as an HMM, the process of pattern matching is equivalent to using the statistical knowledge contained in the probabilistic model to assess the likelihood of the speech (which led to the model) being realized as the unknown pattern.. FIGURE 47.4: Results of time aligning two versions of the word “seven”, showing linear alignment of the two utterances (top panel).

Fundamentals of Wireless Communication1 (P2)

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The simplest probabilistic model for the channel filter taps is based on the assumption that there are a large number of statistically independent reflected and scattered paths with random amplitudes in the delay window corresponding to a single tap.

Transcriptome sequencing and multi-plex imaging of prostate cancer microenvironment reveals a dominant role for monocytic cells in progression

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B Re-parameterisation of the generalised sigmoid function and probabilistic model (Material and Methods). Right-panel: a graphic representation of the probabilistic model TABI. The bottom panel displays the inferred distribution of possible values (as posterior distribution) of the inflection point for each gene sigmoid trend. Table 1 Summary statistics of the differential transcription analysis, including 52 samples from 13 patients and 4 enriched cell types Cell type Total.

Phân tích ngữ nghĩa ẩn trong dữ liệu với PLSA

310540.pdf

dlib.hust.edu.vn

Ngày 28 tháng 9 năm 2016 Tác giả luận văn i Phân tích ngữ nghĩa ẩn trong dữ liệu với PLSA 5 DANH MC CÁC T VIT TT VÀ THUT NG Machine Learning Hc máy là mc trong trí tu nhân to Unsupervised learning Hc không có giám sát Supervised learning Hc có giám sát Probabilistic model Mô hình xác sut LSA Latent semantic analysis: phân tích ng n PLSA Probabilistic latent semantic analysis: phân tích ng n có xác sut SVD t phân tích giá tr riêng Training phase Quá trình hu

Phylogeny analysis from gene-order data with massive duplications

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Reconstructing Ancestral Genomic Orders Using Binary Encoding and Probabilistic Models. Ancestral reconstruction with duplications using binary encoding and probabilistic model. Reconstruction of ancestral gene orders using probabilistic and gene encoding approaches. Evolutionary trees from DNA sequences: a maximum likelihood approach. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models.

Probabilistic pushover analysis of reinforced concrete frame structures using dropout neural network

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Validation results of Dropout network using FEM model.. Journal of Science and Technology in Civil Engineering (STCE. Validation results of Dropout network using FEM model 40

Probabilistic locational marginal price by monte carlo simulation with latin hypercube sampling and scenario reduction techniques

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These reduced Latin hypercube samples are used as inputs for the market-clearing model described in Section 4.. Solve the market-clearing model for each Latin hypercube sample by leveraging POWERWORLD software [22] and obtain the Locational Marginal Prices..

Multimedia_Data_Mining_07

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Since in the proposed scheme, every region and/or image may be represented as a weighted sum of the components along the discovered concept axes, the proposed model acts as a factoring analysis [150], yet the same model offers important advantages, such as that each weight has a clear probabilistic meaning and the factoring is two-fold, i.e., both regions and images in the database have probabilistic representations with the discovered concepts..

LECTURE 5: MORE APPLICATIONS WITH PROBABILISTIC ANALYSIS, BINS AND BALLS

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PROBABILISTIC ANALYSIS, BINS AND BALLS. Review: Coupon Collector’s problem and Packet Sampling. Analysis of Quick-Sort Analysis of Quick-Sort. Birthday Paradox and applications The Bins and Balls Model. Coupon Collector Problem. Problem: Suppose that each box of cereal contains one of n different coupons. Once you obtain one of every type of coupon, you can send in for a prize..

Multimedia_Data_Mining_08

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In this chapter, we propose a probabilistic semantic model and the cor- responding learning procedure to address the problem of automatic image annotation and show its application to multimodal image data mining and retrieval. Specifically, we use the proposed probabilistic semantic model to explicitly exploit the synergy between the different modalities of the imagery and the collateral information.

LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies

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When comparing model (4) with the basic model (2) for a single trait, the major difference lies in the joint sampling of hidden association statuses in the joint model of the two studies. In the presence of pleiotropy, γ 1j and γ 2j are no longer independent. Then, according to Bayes rule, the posterior probability distributions for the variables of interest can be calculated as. Algorithm for the quantitative trait model.

Model-Based Design for Embedded Systems- P18

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We then describe the extended state machine (ESM) model in Section 15.3 and. The syntax and the expressive power used for expressions in the transitions of the state- based model is reviewed in Section 15.5, followed, in Section 15.6, by the specialization of the model into different categories to support alternative viewpoints. Because of this property, we can restrict our attention to contracts of the form C = (A, M C.

SOME STUDIES ON A PROBABILISTIC FRAMEWORK FOR FINDING OBJECT-ORIENTED INFORMATION IN UNSTRUCTURED DATA

tainguyenso.vnu.edu.vn

This chapter brings in-detail description of the probabilistic framework for searching object-oriented on unstructured data of Vietnamese dataset of real estate domain. The section 5.2 shows the results and evaluation of these results of the experiment. Domain Real Estate. One of the problems when indexing Number is the format of the number in standard and Vietnamese format.

GATC: A genetic algorithm for gene tree construction under the Duplication-Transfer-Loss model of evolution

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In a probabilistic framework, the reconciliation score corresponds to the probability density of the gene tree given some parameters (rates of events and branch lengths) under a birth-death and gain model of evolution. For the Most Parsimonious Reconciliation model (MPR), this score corresponds to the optimal number of gene gain and loss events, weighted by their costs, explaining the incongruence between a gene tree and a species tree..

Model-Based Design for Embedded Systems- P7

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The Simulink model of the mobile robots. Also, it is important to stress that the simulated code is only a model of the actual code that executes in the sensor nodes and in the robots. In spite of the above, it is our experience that the TrueTime simulation approach gives results that are close to the real case. An aspect of the model that is extremely difficult, if not impossible, to val- idate is the wireless communication.