system statistical machine learning
Statistical Machine Learning for High Dimensional Data
... References • Statistical Machine Learning Lafferty, Liu and Wasserman (2012) • The Elements of Statistical Learning Hastie, Tibshirani and Friedman (2009) (www-stat.stanford.edu/˜tibs/ElemStatLearn/) ... Pattern Recognition and Machine Learning Bishop (2009) Outline Regression predicting Y from X Structure and Sparsity finding and using hidden structure Nonparametric Methods using statistical models ... with weak assumptions Latent Variable Models making use of hidden variables Introduction • Machine learning is statistics with a focus on prediction, scalability and high dimensional problems...
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Statistical Machine Learning for High Dimensional Data Lecture 2
... Y from X Structure and Sparsity finding and using hidden structure Nonparametric Methods using statistical models with weak assumptions Latent Variable Models making use of hidden variables Lecture ... (12) ob29 tained using the log determinant relaxation to the log partition function of Wainwright Statistical Scaling Behavior Maximum degree d of the p variables Sample size n must satisfy Ising ... representation Codewords/patch 8.14, RSS 0.1894 41 Sparse Coding Mathematical formulation of dictionary learning: G y (i) − X α(i) 2n α,X such that g=1 Xj 2 + λ α(i) ≤1 42 Sparse Coding for Natural Images...
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Statistical Machine Learning for High Dimensional Data Lecture 3
... However, this is hard to interpret and is subject to the curse of dimensionality This means that the statistical performance and the computational complexity degrade as dimension p increases An alternative ... weight ● ● 3.0 ● ● ● ● 3.0 ● ● 20 ● ● ● ● ● 3.5 choline 3.5 4.0 ● ● 20 phosphorus 2.5 3.0 3.5 44 Statistical Scaling for Prediction Let F be class of matrices of functions that have a functional...
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Tài liệu Báo cáo khoa học: "Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation" docx
... vector machine active learning with applications to text classification Journal of Machine Learning Research (JMLR), 2:45–66 David Vickrey, Oscar Kipersztok, and Daphne Koller 2010 An active learning ... 877–882 Greg Schohn and David Cohn 2000 Less is more: Active learning with support vector machines In Proc 17th International Conf on Machine Learning, pages 839–846 Morgan Kaufmann, San Francisco, ... for Computational Linguistics Gholamreza Haffari and Anoop Sarkar 2009 Active learning for multilingual statistical machine translation In Proceedings of the Joint Conference of the 47th Annual...
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Tài liệu Báo cáo khoa học: "Name Translation in Statistical Machine Translation Learning When to Transliterate" pptx
... Hsin-Hsi Chen 2002 Backward Machine Transliteration by Learning Phonetic Similarity Sixth Conference on Natural Language Learning, Taipei, Taiwan, 2002 David Matthews 2007 Machine Transliteration ... (86.9%) 1589 (91.8%) 1528 (88.3%) Table 3: Name translation accuracy in end-to-end statistical machine translation (SMT) system for different named entity (NE) types: Person (PER), Geopolitical Entity, ... dropped names in particular is clearly valuable to the human reader of machine translated documents as well as for systems using machine translation for further information processing At the same...
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Báo cáo khoa học: "An Interactive Machine Translation System with Online Learning" pdf
... reason, such learning paradigm is appropriate for its use in the IMT framework The work by Ortiz-Mart´nez ı et al (2010) implements online learning as incremental learning Specifically, an IMT system ... well-defined set of functions Online Learning In the online learning paradigm, learning proceeds as a sequence of trials In each trial, a sample is presented to the learning algorithm to be classified ... the online IMT systems The batch IMT system is a conventional IMT system which is not able to take advantage of user feedback after each translation is performed The online IMT system uses the...
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Báo cáo khoa học: "Transductive learning for statistical machine translation" potx
... Learning Theory • We showed how additional monolingual source-language data can be used in transductive learning to improve the SMT system Discussion It is not intuitively clear why the SMT system ... 1993 The Mathematics of Statistical Machine Translation: Parameter Estimation Computational Linguistics, 19(2) C Callison-Burch, D Talbot, and M Osborne 2004 Statistical machine translation with ... log-linear model, we have an alternative to the full re-training Algorithm Transductive learning algorithm for statistical machine translation 1: Input: training set L of parallel sentence pairs // Bilingual...
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Báo cáo khoa học: "Active Learning for Multilingual Statistical Machine Translation∗" ppt
... 2003b Cotraining for statistical machine translation In Proceedings of the 6th Annual CLUK Research Colloquium Chris Callison-burch 2003 Active learning for statistical machine translation In ... hypothesis alignment for combining outputs from machine translation systems In EMNLP Philipp Koehn 2005 Europarl: A parallel corpus for statistical machine translation In MT Summit Evgeny Matusov, ... translation from multiple machine translation systems using enhanced hypotheses alignment In EACL Franz Josef Och and Hermann Ney 2004 The alignment template approach to statistical machine translation...
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Báo cáo khoa học: "N-gram-based Statistical Machine Translation versus Syntax Augmented Machine Translation: comparison and system combination" potx
... the percentage contribution of each system to the system combination: 55-60% of best translations come from the tuples-based system 1000-best list, both for system combination and oracle experiments ... generated by SAMT and N -gram system are significantly different according to BLEU (43.20±1.69 for SAMT vs 46.42 ± 1.61 for tuple-based system) 4.6 System combination Many MT systems generate very different ... Entropy Models for Statistical Machine Translation In Proceedings of ACL 2002, pages 295–302 J M Crego and J B Mariño 2006 Improving statistical MT by coupling reordering and decoding Machine Translation,...
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Machine learning based classification system for overlapping data and irregular repetititve signals
... data involved 1.2 The Problem This project looks into part of an overall classification system The entire system consists of different modules, each with a certain objective to attain Our focus ... It has many strengths that make it very appealing, such as incremental learning as new data becomes available [6], fast learning dynamic neuron commitment , and the use of few training epochs ... these networks already require major changes to the learning method or architecture and introduce additional computational costs The dynamics of the system are also no longer as straightforward or...
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Trí tuệ nhân tạo - Introduction to Machine Learning
... Introduction 1.1.1 What is Machine Learning? 1.1.2 Wellsprings of Machine Learning 1.1.3 Varieties of Machine Learning 1.2 Learning Input-Output Functions 1.2.1 Types of Learning 1.2.2 Input Vectors ... study learning in animals and humans In this book we focus on learning in machines There are several parallels between animal and machine learning Certainly, many techniques in machine learning ... redesign of AI systems to conform to new knowledge is impractical, but machine learning methods might be able to track much of it 1.1.2 Wellsprings of Machine Learning Work in machine learning is...
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HỌC MÁY (MACHINE LEARNING)
... nhiệm vụ học (learning task) khác Ở trình bày nhiệm vụ học quy nạp (inductive learning) , nhiệm vụ học Nhiệm vụ CTH học khái quát (generalization) từ tập hợp ví dụ Học khái niệm (concept learning) ... hiệu (symbol-based learning) , tiếp cận mạng neuron hay kết nối (neural or connectionist networks) tiếp cận trội (emergent) hay di truyền tiến hóa (genetic and evolutionary learning) Các CTH thuộc ... Bình 185 Giáo Trình Trí Tuệ Nhân Tạo Chương IX 153 HỌC MÁY 153 (MACHINE LEARNING) 153 I GIỚI THIỆU: 153 I.1 Định nghĩa ‘học’ 154...
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Tài liệu Machine Learning Multimedia Content Analysis ppt
... aroused people’s enthusiasms in machine learning, and have led to a spate of new machine learning text books Noteworthily, among the ever growing list of machine learning books, many of them attempt ... otherwise notified, the term machine learning will be used to denote inductive learning During the early days of machine learning research, computer scientists developed learning algorithms based ... provides an overview of machine learning techniques and shows the strong relevance between typical multimedia content analysis and machine learning tasks The overview of machine learning techniques...
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Tài liệu Báo cáo khoa học: "Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information" doc
... adaptation for statistical machine translation Machine Translation, pages 187-207 Nicola Ueffing, Gholamreza Haffari and Anoop Sarkar 2008 Semi-supervised Model Adaptation for Statistical Machine Translation ... Workshop on Statistical Machine Translation, pages 128-135 George Foster, Cyril Goutte and Roland Kuhn 2010 Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation ... Improving Statistical Machine Translation using Lexicalized Rule Selection In Proc of COLING 2008, pages 321328 Almut Silja Hildebrand 2005 Adaptation of the Translation Model for Statistical Machine...
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Tài liệu Báo cáo khoa học: "Modified Distortion Matrices for Phrase-Based Statistical Machine Translation" doc
... reordering in ArabicEnglish statistical machine translation Machine Translation, Published Online David Chiang 2005 A hierarchical phrase-based model for statistical machine translation In Proceedings ... Rambow 2011 Fuzzy syntactic reordering for phrase-based statistical machine translation In Proceedings of the Sixth Workshop on Statistical Machine Translation, pages 227– 236, Edinburgh, Scotland, ... the Fourth Workshop on Statistical Machine Translation, pages 206–214, Athens, Greece, March Association for Computational Linguistics Franz Josef Och 2002 Statistical Machine Translation: From...
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Tài liệu Báo cáo khoa học: "A Ranking-based Approach to Word Reordering for Statistical Machine Translation" doc
... Phrase-Based Model for Statistical Machine Translation In Proc ACL, pages 263-270 Michael Collins, Philipp Koehn and Ivona Kucerova 2005 Clause restructuring for statistical machine translation ... 2002 Statistical Machine Translation: From Single Word Models to Alignment Template Ph.D.Thesis, RWTH Aachen, Germany Franz J Och and Hermann Ney 2003 A Systematic Comparison of Various Statistical ... processing can help English-Hindi Statistical Machine Translation In Proc IJCNLP Roy Tromble 2009 Search and Learning for the Linear Ordering Problem with an Application to Machine Translation Ph.D Thesis...
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Tài liệu Báo cáo khoa học: "Mixing Multiple Translation Models in Statistical Machine Translation" docx
... Marcello Federico 2009 Domain adaptation for statistical machine translation with monolingual resources In Proceedings of the Fourth Workshop on Statistical Machine Translation, StatMT ’09, pages 182–189, ... and Alfons Juan 2007 Domain adaptation in statistical machine translation with mixture modelling In Proceedings of the Second Workshop on Statistical Machine Translation, StatMT ’07, pages 177–180, ... Josh Schroeder 2007 Experiments in domain adaptation for statistical machine translation In Proceedings of the Second Workshop on Statistical Machine Translation, StatMT ’07, pages 224– 227, Stroudsburg,...
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Tài liệu Báo cáo khoa học: "Improving Statistical Machine Translation with Monolingual Collocation" pdf
... be seen that the systems using the improved bi-directional alignments achieve higher quality of translation than the baseline system If the same alignment method is used, the systems using CM-3 ... 1999 Statistical Machine Translation Final Report In Johns Hopkins University Workshop Peter F Brown, Stephen A Della Pietra, Vincent J Della Pietra, and Robert L Mercer 1993 The Mathematics of Statistical ... avoid out of the question Figure Example of the translations generated by the baseline system and the system where the phrase collocation probabilities are added Experiments BLEU (%) Moses 29.62...
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Tài liệu Báo cáo khoa học: "Bilingual Sense Similarity for Statistical Machine Translation" ppt
... Reconstruction In: Goutte et al (ed.), Learning Machine Translation MIT Press P F Brown, V J Della Pietra, S A Della Pietra & R L Mercer 1993 The Mathematics of Statistical Machine Translation: Parameter ... Word Sense Disambiguation Improves Statistical Machine Translation In: Proceedings of ACL, Prague D Chiang 2005 A hierarchical phrase-based model for statistical machine translation In: Proceedings ... Selection for SMT In: Goutte et al (ed.), Learning Machine Translation MIT Press K Gimpel and N A Smith 2008 Rich Source-Side Context for Statistical Machine Translation In: Proceedings of WMT,...
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Tài liệu Báo cáo khoa học: "Fixed Length Word Suffix for Factored Statistical Machine Translation" pdf
... baseline for all systems included the moses system with lexicalized re-ordering, SRI 5-gram language models 4.2 Medium System on Travel Domain: Spanish to English This system is the WMT08 system, on ... Small System from Dialog Domain: English to Iraqi TuneWMT06 33.34 33.60 32.84 Improvement 4.1 System 0.26 0.32 Table 2: BLEU score, Spanish to English WMT system, comparing Factored and Baseline systems ... A., Osborne, M., and Koehn, P CCG supertags in factored statistical machine translation Proceedings of the Second Workshop on Statistical Machine Translation, pages 9–16, Prague, Czech Republic...
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