integer linear programming models for constrained clustering
Tài liệu Báo cáo khoa học: "Concise Integer Linear Programming Formulations for Dependency Parsing" pptx
... called an integer linear program (ILP) For some special parameter settings—e.g., when b is an integer vector and A is totally unimodular5 —all vertices of the constraining polyhedron are integer ... respect to exact inference for the same set of features Bold indicates the best result for a language As for overall performance, both the exact and relaxed full model outperform the arcfactored model ... via integer linear programming inference In Proc of COLING M Richardson and P Domingos 2006 Markov logic networks Machine Learning, 62(1):107–136 S Riedel and J Clarke 2006 Incremental integer linear...
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Báo cáo khoa học: "Recognizing Authority in Dialogue with an Integer Linear Programming Constrained Model" pptx
... Constraints using Integer Linear Programming We formulate our constraints using Integer Linear Programming (ILP) This formulation has an advantage over other sequence labelling formulations, such ... Roth 2010 Learning Based Java for Rapid Development of NLP Systems In Language Resources and Evaluation Dan Roth and Wen-Tau Yih 2004 A Linear Programming Formulation for Global Inference in Natural ... describing what a correct label sequence looks like, and are imposed on our model using an Integer Linear Programming formulation (Roth and Yih, 2004) In section 5, this model is evaluated on a subset...
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Báo cáo khoa học: "Grammatical Role Labeling with Integer Linear Programming" pot
... Yih, and Dave Zimak 2004 Role Labeling via Integer Linear Programming Inference Proceedings of the 20th COLING Dan Roth and Wen-tau Yih 2005 ILP Inference for Conditional Random Fields Proceedings ... of predicates from parse trees In this paper, we argue for the integration of top down (theory based) information into NLP One kind of information that is well known but have been used only in ... the non-governable GR (adjunct) and (attribute) The results are (cf section for GR given in Fig under F shortcuts, e.g for subject) N O `^ FG ^ h Rec 86.1 83.3 76.9 73.7 94.1 75.6 76.9 F-Mea 88.7...
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Báo cáo hóa học: " Research Article Comparison of Linear Prediction Models for Audio Signals" pdf
... nearly uniform frequency distribution after frequency warping The LPAUTO and SLP models still perform reasonably well for high-pitched chords, while the cascaded PZLP and PLP models perform worse ... extremely large ALTERNATIVE LINEAR PREDICTION MODELS In this section, we present five existing alternative LP models, and we illustrate how all these models attempt to compensate for the shortcomings ... the SLP estimation algorithms, and for designing a PLP model for polyphonic audio signals For the conventional LP model, the performance may differ substantially for the autocorrelation and covariance...
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Báo cáo sinh học: " A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data" pdf
... "LP-SLGN.tar" It should be straightforward to develop an implementation using C and R wrapper functions for lpsolve [46], a freely available solver for linear, integer and mixed integer programs The outcome ... results for an LP formulation based on a general class of linear functions (diamond) and a positive class of linear functions (cross) Page of 15 (page number not for citation purposes) Algorithms for ... sparse linear regression problems, one for each gene in a network (node in the graph) Each linear regression problem is posed as a LASSO (l1 -constrained fitting) problem [34] that is solved by formulating...
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Báo cáo sinh học: "Use of linear mixed models for genetic evaluation of gestation length and birth weight allowing for heavy-tailed residual effects" pptx
... MGS effect for GL were higher than those from BSt and BS models Posterior means of HYS variances from BSt and BN models were similar and ranged from to 4.25 for GL, and 2.43 to 2.56 for BW from ... effects from BSt and BN models for GL and BW compared using Kendall rank correlations are in Figure The rank correlation between BN and BSt models was 0.77 for GL, and 0.81 for BW, indicating re-ranking ... t-link threshold models for the genetic analysis of calving ease scores Genet Sel Evol 2003, 35:489-512 Stranden I, Gianola D: Mixed effects linear models with t-distributions for quantitative...
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Báo cáo khoa học: "Log-linear Models for Word Alignment" ppt
... training For log -linear models, POS information and an additional dictionary are used, which is not the case for GIZA++/IBM models However, treated as a method for performing symmetrization, log -linear ... coverage as features Our experiments show that log -linear models significantly outperform IBM translation models We begin by describing log -linear models for word alignment The design of feature functions ... not efficient for our log -linear models It is time-consuming for each feature to figure out a probability when adding a new link, especially when the sentences are very long For our models, gain(a,...
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smart card applications design models for using and programming smart cards
... this format The plug-in format for smart cards used in mobile telecommunications applications is also very common Another name for this format is ID-000 This has become the standard format for ... 4.4.2 Standards for card bodies Standards for operating systems 48 48 4.4.3 4.4.4 Standards for data and data structuring Standards for computer ... Dieter Weiß for frequent and long discussions on the interpretation of ISO standards, Ralf Holly and Martin R¨ sner o for many helpful tips on programming Java cards, Christoph Schiller for convincing...
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Báo cáo hóa học: " Strong consistency of estimators in partially linear models for longitudinal data with mixingdependent structure" pdf
... inference for such models If g(⋅) is unknown but there are no repeated measurements, that is m1 = ⋅ ⋅ ⋅ = mn = 1, the models (1.1) are reduced to non-longitudinal partially linear regression models, ... correlations for analyzing longitudinal data and obtained some asymptotic results based on the assumption that max 1≤i≤n m i is bounded for all n Chi and Reinsel [27] considered linear models for longitudinal ... stochastic mixed models for longitudinal data J Am Stat Assoc 93, 710–719 (1998) doi:10.2307/2670121 11 You, JH, Zhou, X: Partially linear models and polynomial spline approximations for the analysis...
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Báo cáo sinh học: " Backsolving in combined-merit models for marker-assisted best linear unbiased prediction of total additive genetic merit" ppsx
... marker information in a best linear unbiased prediction (Henderson, 1973, 1975, 1984) Following the work of these authors, various models and procedures for the marker-assisted best linear unbiased ... due to MQTL as obtained by solving the MME for the full model, or equations !1!, are given by the two steps for Z , o backsolving for up and Vp and then for i and v where the subscript o refers ... matrix for the (aTLs not linked to the marker locus, A is the gametic relationship matrix for the MQTL, In is an identity matrix whose dimension is n, and Q!, ol2and Q are the variance components for...
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Báo cáo sinh học: "Linear models for joint association and linkage QTL mapping" ppt
... variance we apply (19) For founders, var2 iances are σ a3 for the first gamete in 1, σ a2 for the sec2 ond, σ a4 for the first gamete in 2, and so on For non- founders, let consider for example gamete ... and LA) allow us to construct several linear models considering LD, LA, or both In the next two sections, we will detail two linear models including LD and LA for cases commonly used in livestock ... covariances, a simple and coherent linear- models framework for association and linkage and (iv) reduces to wellknown models on the hypothesis of LE or complete LD Indeed, our models allows us to test the...
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1 component mode synthesis and polynomial chaos expansions for stochastic frequency functions of large linear FE models
... 17, normal modes are retained for the substructure SS(1), modes for SS(2) and interface dof For (FI) method, 10 normal modes for the substructures SS(1), modes for SS(2), and interface dof are ... modes for substructures SS(1) and SS(2), two modes for SS(3) and 240 interface dof For the (FI) method we retain respectively 15 normal modes for the substructures SS(1) and SS(2), nine modes for ... and used to investigate the frequency transfer functions for large linear FE models of beams and assembled plates with linear and nonlinear stochastic parameters The random frequency transfer...
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Approaches to the design of model predictive controller for constrained linear systems with bounded disturbances
... Finite Horizon CTLD system Constrained Time-invariant Linear Discrete-time system LMI Linear Matrix Inequality LP Linear Programming MPC Model Predictive Control QP Quadratic Programming ISS Input-to-State ... feasible for all t ≥ for system (1.10) under MPC controller (1.30) and the closed-loop system has the following properties: (i) (x(t), u(t)) ∈ Y for all t ≥ 0; (ii) the origin is ISS for the closed-loop ... section, a picture of the recent development of MPC for constrained linear systems with additive disturbances, together with its comparison with the Linear Quadratic Regulator (LQR) method, is shown...
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Adjacent basis based algorithm for multiparametric linear programming
... is not strictly feasible 2.1 Relating linear programming to Grassmann Manifold Consider the linear program: cT x s.t Ax = b (2.1) x≥0 2.1 Relating linear programming to Grassmann Manifold its ... should be written as A = (AB , AN )Π for certain permutation 2.1 Relating linear programming to Grassmann Manifold matrix Π But we omit Π for simplicity For any strictly feasible instance, we ... solution for Example 29 3.2 Boundaries for Example 29 3.3 Represent of critical regions for Example 30 3.4 Optimal solution for Example...
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NON-LINEAR REGRESSION MODELS
... Multivariate models Simultaneous equations models 5.1 Non -linear 5.2 Other single equation two-stage least squares estimator 5.3 Non -linear simultaneous 5.4 Non -linear three-stage 5.5 Non -linear full information ... likelihood estimation of non -linear models unless the model is written in the regression form (1.1) Many non -linear models are discussed elsewhere in this Handbook; see, for example, the chapters ... important topics which, although non-linearity is involved, woud best be studied within another context, e.g non -linear error-in-variable models and non -linear time-series models Regarding these two topics,...
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A dynamic programming algorithm for RNA structure
... Pseudoknot Prediction by Dynamic Programming Figure Recursion for vx truncated at y(0) Figure General recursion for vx in the nested algorithm Each line gives the formal score of one of the diagrams ... additional parameters for pseudoknots e are: PI , the score for a pair in a non-nested multie loop; M, a generic score for generating a nonnested multiloop; and GwI the score for generating an internal ... (1994) Table provides a list of the parameters used for nested conformations For the non-nested con®gurations, there is not much thermodynamic information available (Wyatt et al., 1990; Gluick et...
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Tài liệu Báo cáo " Development of system of HydrodynamicEnvironmental models for coastal area (Case study in Quang Ninh - Hai Phong region) " doc
... Model for suspended particulate matter transport and bottom bathymetry evolution The model for SPM and bottom bathymetry evolution includes sub -models: 3D SPM Model for water column and 2D model for ... need to build a system of models for each environment which is related to each other through the boundary conditions In this case, we can introduce the system of models for oil slick, oil-in-water ... wind Conclusion The preliminary results for the combined system of 2D, 3D hydrodynamicenvironmental models for SPM and bottom layer change show the ability to forecast the fate and transport of contaminants...
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Tài liệu Thermodynamic Models for Industrial Applications: From Classical and Advanced Mixing Rules to Association Theories pptx
... Thermodynamics for biotechnology 19.1 Introduction 19.2 Models for Pharmaceuticals 19.2.1 General 19.2.2 The NRTL–SAC model 19.2.3 The NRHB model for pharmaceuticals 19.3 Models for amino acids ... Chichester, West Sussex, PO19 8SQ, United Kingdom For details of our global editorial offices, for customer services and for information about how to apply for permission to reuse the copyright material ... polymers 6.8.3 Cubic EoS for polymers 6.8.4 How to estimate EoS parameters for polymers 6.9 Conclusions: achievements and limitations of the EoS/GE models 6.10 Recommended Models – so far Appendix...
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Tài liệu Báo cáo khoa học: "Topic Models for Dynamic Translation Model Adaptation" pptx
... unseen for a given domain s, we are already performing an implicit form of smoothing (when computing the expected counts), since each document has a distribution over all topics, and therefore ... subdomains consistent within a document Results Results for both settings are shown in Table GTM models the latent topics at the document level, while LTM models each sentence as a separate document To ... opposite is true, with the LTM models achieving better performance.6 On the NIST corpus, LTM-10 again achieves the best gain of approximately BLEU and up to TER LTM performs on par with or better...
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Tài liệu Báo cáo khoa học: "Incremental Syntactic Language Models for Phrase-based Translation" pptx
... possible category for input “meets the” A sample phrase structure tree is shown before and after the right-corner transform in Figures and Our parser operates over a right-corner transformed probabilistic ... use supertag n-gram LMs Syntactic language models have also been explored with tree-based translation models Charniak et al (2003) use syntactic language models to rescore the output of a tree-based ... language models in conjunction with phrase-based translation models Our syntactic language model fits into the family of linear- time dynamic programming parsers described in (Huang and Sagae, 2010)...
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