Combinations

Xem 1-20 trên 3406 kết quả Combinations
  • Tài liệu tham khảo về Business Combination - Kết hợp kinh doanh bằng tiếng Anh

    pdf0p panda12 03-08-2010 70 18   Download

  • Chapter 4 − Standard Combinational Components Page 1 of 46 Contents Combinational

    pdf46p sieukidvn 16-08-2010 69 7   Download

  • [ Team LiB ] Recipe 3.6 Combining Data in Tables from Heterogeneous Data Sources Problem You want to create a report that is based on data from tables in more than one data source. Solution Use ad-hoc connector names in SQL statements.

    pdf2p luvpro 04-08-2010 52 5   Download

  • Ebook Manual of chess combinations, vol. 2. Manual of chess combinations, volume 3 chess school russian edition. The manual of chess combinations. The material used in the program is based on a textbook by a renowned chess trainer sergey ivashchenko manual of chess combinations vol 2. 127011493 vashchenko chess school 1b the manual of chess combinations. The material used in the program is based on a textbook by a renowned chess trainer sergey ivashchenko manual of chess combinations vol 2. The manual of chess combinations 2 from the publisher russian chess.

    pdf260p bangtom1 13-09-2016 22 5   Download

  • Chapter 3 − Combinational Circuits Page 1 of 44 Contents Combinational Circuits

    pdf44p sieukidvn 16-08-2010 76 4   Download

  • Inspired by the incremental TER alignment, we re-designed the Indirect HMM (IHMM) alignment, which is one of the best hypothesis alignment methods for conventional MT system combination, in an incremental manner. One crucial problem of incremental alignment is to align a hypothesis to a confusion network (CN).

    pdf9p hongphan_1 14-04-2013 20 4   Download

  • In this paper we examine how the differences in modelling between different data driven systems performing the same NLP task can be exploited to yield a higher accuracy than the best individual system. We do this by means of an experiment involving the task of morpho-syntactic wordclass tagging. Four well-known tagger generators (Hidden Markov Model, Memory-Based, Transformation Rules and Maximum Entropy) are trained on the same corpus data. After comparison, their outputs are combined using several voting strategies and second stage classifiers. ...

    pdf7p bunrieu_1 18-04-2013 27 4   Download

  • Ebook The manual of chess combinations - 1b the book is a new edition of a bestseller by an experienced coach Sergey Ivashchenko. Over 250,000 copies of his books were sold in the Soviet Union in the late 1980's. This book is intended for beginners, both children and adults. The themes are: Win a piece, Draw, etc. The book designed for chess players with ELO 1200-1500 points. Includes more than 600 tactical problems classified according to themes and difficulty.

    pdf114p bangtom1 13-09-2016 16 4   Download

  • We present a novel method to improve word alignment quality and eventually the translation performance by producing and combining complementary word alignments for low-resource languages. Instead of focusing on the improvement of a single set of word alignments, we generate multiple sets of diversified alignments based on different motivations, such as linguistic knowledge, morphology and heuristics.

    pdf5p hongdo_1 12-04-2013 22 3   Download

  • Recently confusion network decoding shows the best performance in combining outputs from multiple machine translation (MT) systems. However, overcoming different word orders presented in multiple MT systems during hypothesis alignment still remains the biggest challenge to confusion network-based MT system combination. In this paper, we compare four commonly used word alignment methods, namely GIZA++, TER, CLA and IHMM, for hypothesis alignment.

    pdf8p hongphan_1 14-04-2013 22 3   Download

  • Although indexes may overlap, the output of an automatic indexer is generally presented as a fiat and unstructured list of terms. Our purpose is to exploit term overlap and embedding so as to yield a substantial qualitative and quantitative improvement in automatic indexing through concept combination. The increase in the volume of indexing is 10.5% for free indexing and 52.3% for controlled indexing. The resulting structure of the indexed corpus is a partial conceptual analysis.

    pdf5p bunrieu_1 18-04-2013 22 3   Download

  • This paper presents a method to combine a set of unsupervised algorithms that can accurately disambiguate word senses in a large, completely untagged corpus. Although most of the techniques for word sense resolution have been presented as stand-alone, it is our belief that full-fledged lexical ambiguity resolution should combine several information sources and techniques. The set of techniques have been applied in a combined way to disambiguate the genus terms of two machine-readable dictionaries (MRD), enabling us to construct complete taxonomies for Spanish and French. ...

    pdf8p bunthai_1 06-05-2013 21 3   Download

  • Nhằm giúp các bạn chuyên ngành võ thuật có thêm tài liệu tham khảo, mời các bạn cùng tham khảo nội dung tài liệu "Combined Taijiquan Competition Routine" dưới đây. Nội dung tài liệu giới thiệu đến các bạn những hình ảnh hướng dẫn cụ thể chi tiết về các thế võ về thái cực quyền. Mời các bạn cùng tham khảo để nắm bắt nội dung chi tiết.

    pdf24p tanbeokk 12-10-2015 19 3   Download

  • Content: Excel 2010 keyboard shortcuts - Crt combination shortcut keys.

    pdf2p choconoo 12-03-2017 12 3   Download

  • Handwritten text recognition is a difficult problem in the field of pattern recognition. This paper focuses on two aspects of the work on recognizing isolated handwritten Vietnamese characters, including feature extraction and classifier combination. For the first task, based on the work in [1] we will present how to extract features for Vietnamese characters based on gradient, structural, and concavity characteristics of optical character images. For the second task, we first develop a general framework of classifier combination under the context of optical character recognition. ...

    pdf17p tuanlocmuido 19-12-2012 27 2   Download

  • This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build an English to Finnish translation system). Our methods use unsupervised morphology induction. Unlike previous work we focus on morphologically productive phrase pairs – our decoder can combine morphemes across phrase boundaries. Morphemes in the target language may not have a corresponding morpheme or word in the source language.

    pdf11p hongdo_1 12-04-2013 19 2   Download

  • Unsupervised word alignment is most often modeled as a Markov process that generates a sentence f conditioned on its translation e. A similar model generating e from f will make different alignment predictions. Statistical machine translation systems combine the predictions of two directional models, typically using heuristic combination procedures like grow-diag-final. This paper presents a graphical model that embeds two directional aligners into a single model.

    pdf10p hongdo_1 12-04-2013 14 2   Download

  • The state-of-the-art system combination method for machine translation (MT) is based on confusion networks constructed by aligning hypotheses with regard to word similarities. We introduce a novel system combination framework in which hypotheses are encoded as a confusion forest, a packed forest representing alternative trees.

    pdf9p hongdo_1 12-04-2013 23 2   Download

  • We present minimum Bayes-risk system combination, a method that integrates consensus decoding and system combination into a unified multi-system minimum Bayes-risk (MBR) technique. Unlike other MBR methods that re-rank translations of a single SMT system, MBR system combination uses the MBR decision rule and a linear combination of the component systems’ probability distributions to search for the minimum risk translation among all the finite-length strings over the output vocabulary.

    pdf10p hongdo_1 12-04-2013 19 2   Download

  • We combine multiple word representations based on semantic clusters extracted from the (Brown et al., 1992) algorithm and syntactic clusters obtained from the Berkeley parser (Petrov et al., 2006) in order to improve discriminative dependency parsing in the MSTParser framework (McDonald et al., 2005).

    pdf5p hongdo_1 12-04-2013 11 2   Download

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