Compositional Models pptx
Compositional Models pptx
... have drawn. You'll find this effective in making your drawings more interesting. Compositional Models is reproduced in different sizes, thicknesses, and places throughout a work ... the squares become too small to work with. Most compositions do not adhere only to one of these models, but use a combination of two or three to help carry a viewer through more complex pathways. ... repetition of an element and helps to create connections between objects in a composition. This compositional style also shows up in sculpture. Golden Mean (or Fibonacci Sequence used in a...
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Tài liệu Cutaway models pptx
... HAKO cut-away models - News TECHNOLAB SA, Rotherdweg 16, Postfach, CH-5022 Rombach - Switzerland ... 11 11 - Fax: +41 62 827 11 70 - e-mail: info@technolab.org - www.technolab.org 7 HAKO cut-away models - News Order no. 1260 Cutaway model: Five-gear front automatic transmission DB ... 11 - Fax: +41 62 827 11 70 - e-mail: info@technolab.org - www.technolab.org 15 HAKO cut-away models - News Order no. 1251 Cutaway model: Pump-nozzle II The latest generation of pump-nozzle...
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Tài liệu Analysis Patterns: Reusable Object Models pptx
... make many meaningful generic dynamic models. The type models are important. I like to think of type models as defining the language of the business. These models thus provide a way of coming ... processes. 1.4 Conceptual Models and Business Process Reengineering Most readers will analyze the conceptual models in this book to help develop computer systems, but conceptual models have other ... valuable book on data model patterns [7]. The models follow relational data modeling style, but they are very conceptual models. This makes the models valuable even if you are using object technology....
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Tài liệu Báo cáo khoa học: "Cascaded Markov Models" pptx
... encoding of parsing pro- cesses as Markov Models. Section 3 presents Cas- caded Markov Models. Section 4 reports on the evaluation of Cascaded Markov Models using tree- bank data. Finally, section ... directly correspond in bi- gram models. For higher order models, tuples of cat- egories are combined to one state. 119 Proceedings of EACL '99 Cascaded Markov Models Thorsten Brants Universit/it ... are determined by additionally using Markov Models. While building the struc- ture bottom up, parses that are unlikely according to the Markov Models are pruned. 3.2 The Method The standard...
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Báo cáo khoa học: "Faster and Smaller N -Gram Language Models" pptx
... our language models (and SRILM)by up to 300%.1 IntroductionFor modern statistical machine translation systems,language models must be both fast and compact.The largest language models (LMs) ... Smaller N -Gram Language Models Adam Pauls Dan KleinComputer Science DivisionUniversity of California, Berkeley{adpauls,klein}@cs.berkeley.eduAbstractN-gram language models are a major resourcebottleneck ... implementation also permits ef-ficient insertion and deletion, making it suitable forstream-based language models (Levenberg and Os-borne, 2009).3.3 Implicitly Encoding wnThe context encoding we have...
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Báo cáo khoa học: "Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models " pptx
... destination Wikipedia page as theFigure 6: Person-X Evaluation of Hierarchical Models: Performance of inference on hierarchical models compared to the pairwise model. Experi-ments were run using 50 ... combined hierarchical model is bothfaster and more accurate than the individual hierar-chical models. 5.3 Wikipedia Link CorpusTo explore the application of the proposed approachto a larger, ... against in-ference on the pairwise model from Figure 5. Wesee that the individual hierarchical models performmuch better than the pairwise model; they achievethe same accuracy as the pairwise...
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Báo cáo khoa học: "Combining Speech Retrieval Results with Generalized Additive Models" pptx
... Association for Computational LinguisticsCombining Speech Retrieval Results with Generalized Additive Models J. Scott Olsson∗and Douglas W. Oard†UMIACS Laboratory for Computational Linguistics and ... address these challenges. This pa-per explores that potential by applying Gener-alized Additive Models to optimize the combi-nation of ranked retrieval results obtained us-ing transcripts produced ... new evidence combination techniquebased on a general framework known as Gener-alized Additive Models (GAMs). We show thatthis new technique significantly outperforms sev-eral well known information...
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Báo cáo khoa học: "Combining Statistical and Knowledge-based Spoken Language Understanding in Conditional Models" pptx
... model helps alleviate the data sparseness problem. 3 Conditional Models We investigated the application of conditional models to SLU. The problem is formulated as assigning a label l to ... conditional models is the ease with which they can incorporate overlapping and non-homogeneous features. This is consistent with the finding in the application of conditional models for POS ... fields (CRFs) with perceptron learning for SLU. Experimental results show that the conditional models achieve more than 20% relative reduction in slot error rate over the HMM/CFG model, which...
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Báo cáo khoa học: "Confidence-Weighted Learning of Factored Discriminative Language Models" pptx
... factored language model, discriminativelanguage models, online passive-aggressive learningand confidence-weighted learning.Generative factored language models are pro-posed by (Bilmes and Kirchhoff, ... IntroductionLanguage Models (LMs) are key components inmost statistical machine translation systems, wherethey play a crucial role in promoting output fluency.Standard n-gram generative language models have ... language models, we use confidence-weighted learning (Dredze et al.,2008), an extension of the perceptron-based on-line learning used in previous work on discrimi-native language models. Furthermore,...
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Báo cáo khoa học: "Scalable Inference and Training of Context-Rich Syntactic Translation Models" pptx
... common to statistical machinetranslation (SMT) systems, many of the earlier models particularly child re-ordering models fail to account for human translation behavior.Galley et al. (2004) ... parsing and thus is notdiscussed here. Estimating P r(f |π) is the task ofsyntax-based translation models (SBTM).Given a rule set R, our SBTM makes thecommon assumption that left-most compositionsof ... denote general probability distributions with Pr(·)and use p(·) for probabilities assigned by our models. 964ORNP(x0:NP, x1:VP) x1, !, x0VP(x0:VBP, x1:NP) x0 , x1S(x0:NP, x1:VP, x2:.)...
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