machine learning

Trí tuệ nhân tạo - Introduction to Machine Learning

Ngày tải lên : 14/11/2012, 13:46

... conform to new knowledge is impractical, but machine learning metho ds mightbe able to trackmuchofit. 1.1.2 Wellsprings of Machine Learning Workinmachine learning is nowconverging from several sources. ... ers (1,0) or of categorical variables Introduction to Machine Learning c 1996 Nils J. Nilsson. All rights reserved. INTRODUCTION TO MACHINE LEARNING AN EARLY DRAFT OF A PROPOSED TEXTBOOK Nils ... eed-up learning with metho ds that create gen uinely new functions|ones that might give dierent results after learning than they did b efore. Wesay that the latter metho ds involve inductive learning. ...

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HỌC MÁY (MACHINE LEARNING)

Ngày tải lên : 17/06/2013, 15:32

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Tài liệu Machine Learning Multimedia Content Analysis ppt

Ngày tải lên : 14/02/2014, 12:20

... 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 ... have 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...

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Tài liệu Báo cáo khoa học: "Extracting Comparative Sentences from Korean Text Documents Using Comparative Lexical Patterns and Machine Learning Techniques" doc

Ngày tải lên : 20/02/2014, 09:20

... AFNLP Extracting Comparative Sentences from Korean Text Documents Us- ing Comparative Lexical Patterns and Machine Learning Techniques Seon Yang Department of Computer Engineering, Dong-A University, 840 ... more elements of the keyword set is called a comparative-sentence candidate. Finally, we use machine learning techniques to eliminate non-comparative sentences from the candidates. As a result, ... non-comparative sentences from comparative sentence candidates with a CKL2 keyword, we employ machine learning techniques (MEM and Naïve Bayes). For feature extraction from each comparative- sentence...

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

Ngày tải lên : 20/02/2014, 12:20

... to unsupervised learning to overcome the lack of training data. However their model also has the same problem. McDonald (McDonald, 2006) independently proposed a new machine learning approach. ... Association for Computational Linguistics Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches Yuya Unno 1 Takashi Ninomiya 2 Yusuke Miyao 1 Jun’ichi Tsujii 134 1 Department ... former problem, we apply a maximum entropy model to Knight and Marcu’s model to introduce machine learning features that are de- ﬁned not only for CFG rules but also for other characteristics...

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

Ngày tải lên : 20/02/2014, 15:20

... pages 104–111. J. R. Quinlan. 1993. C4.5: Programs for Machine Learning. Morgan Kaufmann. W. M. Soon, H. T. Ng, and D. Lim. 2001. A machine learning approach to coreference resolution of noun phrases. ... selec- tion and error-driven pruning for machine learning of coreference rules. In Proc. of EMNLP, pages 55–62. V. Ng and C. Cardie. 2002b. Improving machine learning approaches to coreference ... generate good candidate partitions. Given that machine learning approaches to the problem have been promising, our choices will be guided by previous learning- based coreference systems, as described...

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Machine Learning: A Probabilistic Perspective pptx

Ngày tải lên : 06/03/2014, 03:20

... 1}. Based on a ﬁgure by Leslie Kaelbling. 1.2 Supervised learning We begin our investigation of machine learning by discussing supervised learning, which is the form of ML most widely used in practice. 1.2.1 ... Cataloging-in-Publication Information Murphy, Kevin P. Machine learning : a probabilistic perspective / Kevin P. Murphy. p. cm. — (Adaptive computation and machine learning series) Includes bibliographical ... Gaussian graphical models * 318 10.3 Inference 319 10.4 Learning 320 10.4.1 Plate notation 320 10.4.2 Learning from complete data 322 10.4.3 Learning with missing and/or latent variables 323 10.5...

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Báo cáo khoa học: Metabolomics, modelling and machine learning in systems biology – towards an understanding of the languages of cells potx

Ngày tải lên : 07/03/2014, 12:20

... Metabolomics, modelling and machine learning systems FEBS Journal 273 (2006) 873–894 ª 2006 The Author Journal compilation ª 2006 FEBS 893 proﬁling data using machine learning. Plant Physiol 126, ... 110–117. 52 Cohn DA, Atlas L & Ladner R (1994) Improving gen- eralisation with active learning. Machine Learning 15, 201–221. 53 Mackay D (1992) Information-based objective functions for active ... modelling and machine learning systems FEBS Journal 273 (2006) 873–894 ª 2006 The Author Journal compilation ª 2006 FEBS 885 337 Mackay DJC (2003) Information Theory, Inference and Learning Algorithms....

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

Ngày tải lên : 08/03/2014, 01:20

... 27–35, Suntec, Singapore, 4 August 2009. c 2009 ACL and AFNLP Paraphrase Recognition Using Machine Learning to Combine Similarity Measures Prodromos Malakasiotis Department of Informatics Athens ... correspond to machine translation evaluation metrics, rather than string similarity measures, unlike our system. We plan to examine further how the features of Finch et al. and other ideas from machine ... INIT+WN+DEP uses ad- ditional features that measure grammatical rela- tion similarity. Supervised machine learning is used to learn how to combine the resulting features. We experimented with a Maximum...

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

Ngày tải lên : 08/03/2014, 02:21

... LFG, Bergen, Norway. V. N. Vapnik. 1998. Statistical Learning Theory. Wiley-Interscience, September. 143 Figure 3: Processing architecture for the machine- learning- based method. duce the number of category ... three generic machine learning algorithms: a memory-based learner (Daelemans and van den Bosch, 2005), a maximum entropy classifier (Berger et al., 1996) and a Support Vector Machine classifier ... setting in the context of au- tomatically acquiring LFG resources for Spanish from Cast3LB. Machine- learning- based Cast3LB tag assignment yields statistically-significantly improved LFG f-structures...

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

Ngày tải lên : 08/03/2014, 02:21

... criteria. Machine learning af- fords a uniﬁed framework to compose these criteria into a single metric. In this paper, we have demonstrated the viability of a regression approach to learning ... Linguistics. Simon Corston-Oliver, Michael Gamon, and Chris Brockett. 2001. A machine learning approach to the automatic evaluation of machine translation. In Proceedings of the 39th Annual Meeting of ... studies suggest that machine learning can be applied to develop good automatic evaluation metrics for machine trans- lated sentences. This paper further ana- lyzes aspects of learning that impact...

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Báo cáo khoa học: "Extraction of deﬁnitions using grammar-enhanced machine learning" pdf

Ngày tải lên : 08/03/2014, 21:20

... investigate whether combining a basic grammar with machine learning can give better results than a sophisticated grammar combined with machine learning. Because the datasets will be more imbalanced ... combination of a rule-based grammar and machine learning. We col- lected a Dutch text corpus containing 549 deﬁnitions and applied a grammar on it. Machine learning was then applied to im- prove ... baseline grammars and machine learning classiﬁers. In Proceedings of the Sixth International Conference on Language Resources and Evaluation, LREC 2008. I. Fahmi and G. Bouma. 2006. Learning to iden- tify...

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Machine Learning for Hackers pot

Ngày tải lên : 15/03/2014, 16:20

... data used to build a machine learning process. The notion of observing data, learning from it, and then automating some process of recognition is at the heart of machine learning and forms the ... exploring machine learning with R! Before we proceed to the case studies, however, we will review some R functions and operations that we will use frequently. R Basics for Machine Learning As ... that they can think more clearly about the world in order to make better decisions. In machine learning, the learning occurs by extracting as much information from the data as possible (or reasonable)...

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Natural Language Annotation for Machine Learning potx

Ngày tải lên : 15/03/2014, 16:20

... with machine learning algorithms that perform classification, clustering and pattern induction tasks. • Having a good annotation scheme and accurate annotations are critical for machine learning ... you start for designing the features that go into your learning algorithm. The better the features, the better the performance of the machine learning algorithm! Preparing a corpus with annotations ... Entropy (Maxent), Naive Bayes, Decision trees, and Support Vector Machines (SVMs). Clustering Clustering is the name given to machine learning algorithms that find natural groupings and patterns from...

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Automating the Construction of Internet Portals with Machine Learning doc

Ngày tải lên : 15/03/2014, 21:20

... forty: The independence assumption in information retrieval. In Machine Learning: ECML-98, Tenth European Conference on Machine Learning, pp. 4–15. McCallum, A., & Nigam, K. (1998). A comparison ... 155–171. Mitchell, T. M. (1997). Machine Learning. McGraw-Hill, New York. cora.tex; 17/02/2000; 10:24; p.45 Automating the Construction of Internet Portals with Machine Learning 9 links to research ... dynamic programming. 3.2. Spidering as Reinforcement Learning As an aid to understanding how reinforcement learning relates to spidering, consider the common reinforcement learning task of a mouse exploring...

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Báo cáo khoa học: "Machine-Learning-Based Transformation of Passive Japanese Sentences into Active by Separating Training Data into Each Input Particle" doc

Ngày tải lên : 17/03/2014, 04:20

... into Active Sen- tences Using Machine Learning, pages 115–125. Springer Publisher. Masaki Murata, Qing Ma, and Hitoshi Isahara. 2002. Com- parison of three machine- learning methods for Thai part- of-speech ... using the machine- learning method ex- plained in Section 3. When multiple target parti- cles could have been answers in the training data, we used pairs of them as answers for machine learning. The ... separates training data into each input particle and uses machine learning for each particle. We also used numerous rich features for learning. Our method obtained a high rate of accuracy (94.30%)....