vagus nerve stimulation triggered by machine learning based seizure detection initial implementation and evaluation
Báo cáo khoa học: "Machine-Learning-Based Transformation of Passive Japanese Sentences into Active by Separating Training Data into Each Input Particle" doc
... target case particles Machine learning method (support vector machine) We used a support vector machine as the basis of our machine- learning method This is because support vector machines are comparatively ... determined by using the machine- learning method explained in Section When multiple target particles could have been answers in the training data, we used pairs of them as answers for machine learning ... “Eval A” when ga and de could be answers and the system output the pair of ga and de as answers We judged the result to be correct in “Eval B” when ga and de could be answers and the system output...
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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" ppt
... question and predicts countability (either countable or uncountwhere , , and able) Formally, denote the model, the feature vector, and , respectively; here, and correspond to countable and uncountable, ... majority countability by counting the numbers of countables and uncountables We can also generate a model for predicting countability from the set of discourses using a machine learning algorithm ... training data as a feature to create a new set of training data before applying a machine learning algorithm; then a machine learning algorithm is applied to the new set The resulting model takes the...
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Báo cáo khoa học: "Feasibility Study for Ellipsis Resolution in Dialogues by Machine-Learning Technique" docx
... al.; 1995), that deals with both J-to-E and Jto-German MT English and German grammar are not generally believed to be similar Ellipsis Resolution Learning by Machine Table 1: Tagged Ellipsis Types ... boundaries or discourse cue words (Walker and Moore, 1997) This section describes a method to apply a decision-tree learning approach, which is one of the machinelearning approaches, to ellipsis resolution ... experiment, since we want to concentrate the discussion on the feasibility of machine learning As shown in the experiment by Aone and Ben- Table 2: Number of training attributes Attributes Content words...
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Báo cáo y học: " Pregnancy and delivery while receiving vagus nerve stimulation for the treatment of major depression: a case report" pot
... Lisanby SH: Vagus nerve stimulation (VNS) for major depressive episodes: one year outcomes Biol Psychiatry 2002, 51(4):280-287 Cyberonics I: Cyberonics Reports Financial Results for Q4 and FY ... feeding, somnolence, reduced growth, and possible seizure [22] Because both depression and its treatment with pharmacologic interventions may pose risks to the patient and her child, it is important ... sleep apnea, and arthritis in her knees, ankles, and feet She reported that she had suffered from recurring depression for 10 years, confounded by obesity, despite pharmacologic treatment and psychotherapy...
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Prediction of novel biochemical class disease related proteins and microRNAs by machine learning approach
... motif based method 1.4.3 Machine learning approach Unlike sequence similarity approach and motif based approach, machine learning methods take a different strategy to predict protein function Machine ... related proteins and microRNAs by machine learning approach IX Table 5-6 Comparison of prediction performance of precursor miRNAs and non-precursor miRNAs with different machine learning methods ... based methods 13 1.4.3 Machine learning approach 15 1.5 Scope and objective .15 Methods 18 2.1 Machine learning methods 18 2.1.1 Support Vector Machine...
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Machine learning based classification system for overlapping data and irregular repetititve signals
... of x and k 62 Table 12: Values of x and k before and after adaptation 62 Table 13: Class and PRI knowledge of data used 65 Table 14: Classes C and I with deviation 2.5% and ... 15: Classes D and E with deviations 14% and 14% 67 Table 16: Classes K, C and H with deviations 0%, 2.5% and 2% 67 Table 17: Classes D, E and H with deviations 14%, 14% and 2% 68 ... demographic and socio-economic characteristics such as age, religion, employment, media exposure, standard of living, number of children, husband’s occupation, and both the wife and husband’s education...
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Machine learning based congestion control in wireless sensor networks
... were initially designed to improve the network reliability, by preventing packet drops New issues related to congestion were raised and several techniques were proposed such as: buffer based detection, ... 31 Chapter Adapting Policies by Reinforcement Learning In this Chapter, a solution method based on reinforcement learning is introduced First, the semi-markov model and the solution approach are ... tree and the traffic patterns This thesis investigates the learning of the policy from experience With on-line learning, the sensor node can adapt by itself to the environment presented A learning...
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Web-Based Learning Environment: A Theory-Based Design Process for Development and Evaluation pdf
... Jonassen’s Constructivist Learning Environment (1999), Hannafin, Land, & Oliver’s Open Learning Environment (1999), Savery 25 Web -Based Learning Environment & Duffy’s Problem -Based Learning (1995), Schank ... evaluations, and usability testing Evaluation of Web -based Supplemental Learning Environments One of the foci in this study is on formative evaluation The evaluation of Web -based learning environments is ... font color and size) One-to-One Evaluation Process In the One-to-One Evaluation process, two evaluation sessions (Evaluation and 2) were conducted with representative users to identify and remove...
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Tài liệu Performance-Based Management Systems Effective Implementation and Maintenance docx
... edited by Ronald J Stupak and Peter M Leitner 91 Handbook of Public Management Practice and Reform, edited by Kuotsai Tom Liou 93 Handbook of Crisis and Emergency Management, edited by Ali Farazmand ... Management Handbook, edited by Jack Pinkowski 139 Homeland Security Handbook, edited by Jack Pinkowski 140 Health Capital and Sustainable Socioeconomic Development, edited by Patricia A Cholewka and ... Handbook of Long-Term Care Administration and Policy, edited by Cynthia Massie Mara and Laura Katz Olson 144 Handbook of Employee Benefits and Administration, edited by Christopher G Reddick and...
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Six sigma in service organizations a conceptual framework based on aspects of implementation and performance
... 10.6 Final Discussion and Future Directions………………………………………220 10.6.1 Six Sigma Implementation and Success, Progress, and Service Types 220 10.6.2 Six Sigma Implementation and Service Organizations……………… ... tools and techniques, performance metric and difficulties regarding Six Sigma implementation in service organizations This will be accomplished by attaining a better understanding of Six Sigma implementation ... affiliations and 38% had academic affiliations Figure 2.2a and 2.2b plots the percentage contribution of articles by academics and industrial authors about Six Sigma implementation in manufacturing and...
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Báo cáo khoa học: "Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems" pdf
... machine learning (ML) techniques Section presents the two rule -based NERC systems for Greek and French Section explains our method and Section describes the two experiments and presents the evaluation ... vised machine learning algorithm constructs a new system using data generated by the rulebased system, and the deployment stage, in which the results of the two systems are compared on new data and ... inside another NE in the text Controlling a Rule -based System Using Machine Learning Machine learning has been used successfully to control a rule -based system that performs a different task, namely...
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Virtual screening of multi target agents by combinatorial machine learning methods
... Structure -based and ligand based virtual screening Structure -based virtual screening (SBVS) starts with a 3-D structure of a target protein and a database of the 3-D structures of ligands as the ... tasks by machine learning methods are found to demonstrate good performances The yields, hit rates, and enrichment factors of machine learning methods are in the range of 50%~94%, 10%~98%, and ... 1-4 and Table 1-5 for the reported performances of structure -based VS methods and two classes of ligand -based VS methods, pharmacophore and clustering The majority of the yields, hit rates, and...
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Trí tuệ nhân tạo - Introduction to Machine Learning
... understanding of, or skill in, by study, instruction, or experience," and \modi cation of a behavioral tendency by experience." Zoologists and psychologists study learning in animals and humans ... 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 derive from the e orts of ... students, faculty, and researchers solely for the purpose of preliminary evaluation Contents Preliminaries 1.1 Introduction 1.1.1 What is Machine Learning? 1.1.2 Wellsprings of Machine Learning 1.1.3...
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HỌC MÁY (MACHINE LEARNING)
... (1997) (1989) (1987) (1998) (1988) Oliver, Smith and Holland Freisbein and Merz Nagata and Kobayashi Whitley, Timothy, Fuquay Grefenstette Tao and Michalewicz Mühlenbein, Schleuter (1991) (1985) ... ký 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 ... 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) ...
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Tài liệu Corel Draw 10 Step-by-step Learning Ebook doc
... Path 87 Using Corel Draw File How to Start and Open a Drawing To Start and Open a Drawing Welcome to use Corel Draw 10 Step -By- Step Learning Program At the beginning, you can start a ... an Object by using a Different Anchor Point To Position an Object by using a Different Anchor Point Step !" First of all, you have to click on an object and select Window followed by Dockers ... codes by using the Barcode Wizard Encodes as shown as the image below Step !" Click on the Edit tab from the menu bar and choose Insert Bar Code !" After that choose a bar code format from the standard...
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Tài liệu Machine Learning Multimedia Content Analysis ppt
... statistical learning techniques and relevant theories This chapter provides an overview of machine learning techniques and shows the strong relevance between typical multimedia content analysis and machine ... into the inductive learning category In this book, unless otherwise notified, the term machine learning will be used to denote inductive learning During the early days of machine learning research, ... Because of its commercial values and variety of applications, inductive machine learning has been the focus of considerable researches for decades, and most machine learning techniques in the literature...
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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
... discuss conclusions and future work in section Extracting Candidates Comparative-sentence In this section, we define comparative keywords and extract comparative-sentence candidates by using those ... powerful tools for evaluation We have surveyed many studies about opinion mining (Lee et al., 2008; Kim and Hovy, 2006; Wilson and Wiebe, 2003; Riloff and Wiebe, 2003; Esuli and Sebastiani, 2006) ... method (%) As shown in Table and Figure 1, both of MEM and NB is shown good performance but the F1score of MEM is little higher than that of NB By applying machine learning technique to our method,...
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Tài liệu Báo cáo khoa học: "Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches" pptx
... changes Turner and Charniak (Turner and Charniak, 2005) revised and improved Knight and Marcu’s algorithm; however, their algorithm also uses only mother and daughter relations and has the same ... Roukos, T Ward, and W Zhu 2002 Bleu: a Method for Automatic Evaluation of Machine Translation In Proc of ACL’02, pages 311– 318 J Turner and E Charniak 2005 Supervised and Unsupervised Learning for ... is represented by an AND- OR tree, and it contains many tree structures The forest representation saves memory and makes calculation faster because the trees share sub structures, and this can reduce...
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Tài liệu Báo cáo khoa học: "Machine Learning for Coreference Resolution: From Local Classification to Global Ranking" ppt
... McCarthy and Lehnert’s McCarthy and Lehnert’s McCarthy and Lehnert’s Soon et al.’s McCarthy and Lehnert’s Ng and Cardie’s Coreference System Feature Set Learner Ng and Cardie’s C4.5 Ng and Cardie’s ... potentially 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, ... our duplication of the Soon et al (2001) system and the Ng and Cardie (2002b) system Both resolvers adopt the standard machine learning approach and therefore can be characterized using the four...
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