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Machine Learning ppt

Machine Learning ppt

Machine Learning ppt

... words correctly classified 4 MACHINE LEARNING Artificial intelligence Learning symbolic representations of concepts. Machine learning as a search problem. Learning as an approach to improving ... arises. 1.1 WELL-POSED LEARNING PROBLEMS Let us begin our study of machine learning by considering a few learning tasks. For the purposes of this book we will define learning broadly, to include ... of machine learning are summarized in Table 1.1. Langley and Simon (1995) and Rumelhart et al. (1994) survey additional applications of machine learning. This book presents the field of machine...
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Tài liệu Machine Learning Multimedia Content Analysis ppt

Tài liệu Machine Learning Multimedia Content Analysis ppt

... attempt to write a comprehensive catalog covering the entire spectrum of machine learning techniques, but rather to focus on the learning methods thatare powerful and effective for modeling multimedia ... algorithmContents1 Introduction 11.1 Basic Statistical Learning Problems . . . . . . . . . . . . . . . . . . . . . . . . 21.2 Categorizations of Machine Learning Techniques . . . . . . . . . . . . 41.2.1 ... compute the most probable interpretation for an inputgiven the underlying probability model.4. Learning: Acquire the parameters θ that give the maximum likelihoodestimation of the probability...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches" pptx

... to unsupervised learning to overcome thelack of training data. However their model alsohas the same problem. McDonald (McDonald,2006) independently proposed a new machine learning approach. ... former problem, we apply a maxi-mum entropy model to Knight and Marcu’s modelto introduce machine learning features that are de-fined not only for CFG rules but also for othercharacteristics ... Association for Computational LinguisticsTrimming CFG Parse Trees for Sentence Compression Using Machine Learning ApproachesYuya Unno1Takashi Ninomiya2Yusuke Miyao1Jun’ichi Tsujii1341Department...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Machine Learning for Coreference Resolution: From Local Classification to Global Ranking" ppt

... select these learning- basedcoreference systems and acquire the ranking model.3.1 Selecting Coreference SystemsA learning- based coreference system can be definedby four elements: the learning algorithm ... generate good can-didate partitions. Given that machine learning ap-proaches to the problem have been promising, ourchoices will be guided by previous learning- basedcoreference systems, as described ... Cardie (2002b) for details. Learning algorithms. We consider three learning algorithms, namely, the C4.5 decision tree inductionsystem (Quinlan, 1993), the RIPPER rule learning algorithm (Cohen,...
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Machine Learning: A Probabilistic Perspective pptx

Machine Learning: A Probabilistic Perspective pptx

... state-of-the-art and poised to build the next generation of machine learning algorithms.”David Blei, Princeton University machine learning Machine Learning A Probabilistic PerspectiveKevin P. MurphyToday’s ... practitio-ners of modern machine learning. It covers the basic concepts needed to understand the field as a whole, and the powerful modern methods that build on those concepts. In Machine Learning, the ... independence properties of UGMs 66119.2.1 Key properties 661 Machine Learning A Probabilistic PerspectiveKevin P. Murphy“An astonishing machine learning book: intuitive, full of examples, fun to read...
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Báo cáo khoa học:

Báo cáo khoa học: "Prediction of Learning Curves in Machine Translation" ppt

... 4).In a Machine Learning context, Perlich et al.(2003) used learning curves for predicting maximumperformance bounds of learning algorithms and tocompare them. In Gu et al. (2001), the learning curves ... a x−αis agood model of the learning curves. Learning curves are also frequently used for de-termining empirically the number of iterations foran incremental learning procedure.The crucial ... in-domain datasets, generating 96 learning curves. BLEU measurements for all 96 learning curves along with the gold curves and feature valuesused for inferring the learning curves are availableas...
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Báo cáo khoa học:

Báo cáo khoa học: "Paraphrase Recognition Using Machine Learning to Combine Similarity Measures" ppt

... 27–35,Suntec, Singapore, 4 August 2009.c2009 ACL and AFNLPParaphrase Recognition Using Machine Learning to Combine SimilarityMeasuresProdromos MalakasiotisDepartment of InformaticsAthens ... correspondto machine translation evaluation metrics, ratherthan string similarity measures, unlike our system.We plan to examine further how the features ofFinch et al. and other ideas from machine ... INIT+WN+DEP uses ad-ditional features that measure grammatical rela-tion similarity. Supervised machine learning isused to learn how to combine the resulting fea-tures. We experimented with a Maximum...
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Báo cáo khoa học:

Báo cáo khoa học: "Using Machine-Learning to Assign Function Labels to Parser Output for Spanish" ppt

... three generic machine learning algorithms: a memory-based learner(Daelemans and van den Bosch, 2005), a maxi-mum entropy classifier (Berger et al., 1996) and aSupport Vector Machine classifier ... the machine- learning- basedmethod avoids some sparse data problems and al-lows for more control over Cast3LB tag assign-ment. We have found that the SVM algorithm out-performs the other two machine ... research, containscomprehensive grammatical function annotation.In the present paper we use a machine- learning ap-proach in order to add Cast3LB function tags tonodes of basic constituent trees...
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Báo cáo khoa học:

Báo cáo khoa học: "A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation" ppt

... studies suggest that machine learn-ing can be applied to develop good auto-matic evaluation metrics for machine trans-lated sentences. This paper further ana-lyzes aspects of learning that impact ... criteria. Machine learning af-fords a unified framework to compose these crite-ria into a single metric. In this paper, we havedemonstrated the viability of a regression approachto learning ... apply ma-chine learning to create an improved composite met-ric out of less indicative ones (Corston-Oliver et al.,2001; Kulesza and Shieber, 2004). Under the as-sumption that good machine translation...
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Báo cáo khoa học:

Báo cáo khoa học: "Learning to Transform and Select Elementary Trees for Improved Syntax-based Machine Translations" ppt

... University of Maryland statistical machine trans-lation system for the Fourth Workshop on Machine Trans-lation. In Proceedings of the Fourth Workshop on Statisti-cal Machine Translation, pages 145–149, ... Machine Translation, pages 145–149, Athens, Greece,March.Jason Eisner. 2003. Learning Non-Isomorphic tree mappingsfor Machine Translation. In Proc. ACL-2003, pages 205–208.Ahmad Emami, Stanley ... statistical machine transla-tion. In ACL, pages 177–180.Young-Suk Lee, Bing Zhao, and Xiaoqian Luo. 2010. Con-stituent reordering and syntax models for english-to-japanesestatistical machine...
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