Xem 1-20 trên 94 kết quả Large data sets
  • Finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups. Understanding Group related documents for browsing, group genes and proteins that have similar functionality, or group stocks with similar price fluctuations Summarization Reduce the size of large data sets

    ppt104p trinh02 18-01-2013 29 5   Download

  • This paper proposes a novel approach for effectively utilizing unsupervised data in addition to supervised data for supervised learning. We use unsupervised data to generate informative ‘condensed feature representations’ from the original feature set used in supervised NLP systems. The main contribution of our method is that it can offer dense and low-dimensional feature spaces for NLP tasks while maintaining the state-ofthe-art performance provided by the recently developed high-performance semi-supervised learning technique. ...

    pdf6p hongdo_1 12-04-2013 17 4   Download

  • Overview of data mining. Emphasis is placed on basic data mining concepts. Techniques for uncovering interesting data patterns hidden in large data sets. Data mining has attracted a great deal of attention in the information industry and in society as a whole in recent years.

    pdf72p lalala06 02-12-2015 3 3   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A large, consistent plasma proteomics data set from prospectively collected breast cancer patient and healthy volunteer samples

    pdf11p dauphong6 04-01-2012 25 4   Download

  • How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing"....

    pdf384p caucaphung 04-02-2013 17 4   Download

  • Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài : A large, consistent plasma proteomics data set from prospectively collected breast cancer patient and healthy volunteer samples

    pdf11p dauphong8 14-01-2012 18 3   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Identification of tissue-specific, abiotic stressresponsive gene expression patterns in wine grape (Vitis vinifera L.) based on curation and mining of large-scale EST data sets

    pdf23p panasonic02 14-12-2011 26 2   Download

  • With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evidence from machine learning indicates that increasing the training sample size results in better prediction. The goal of this paper is to show that this common wisdom can also be brought to bear upon SMT.

    pdf11p nghetay_1 07-04-2013 12 1   Download

  • Yet since we now have access to significantly more data, one has to wonder what conclusions that have been drawn on small data sets may carry over when these learning methods are trained using much larger corpora. In this paper, we present a study of the effects of data size on machine learning for natural language disambiguation. In particular, we study the problem of selection among confusable words, using orders of magnitude more training data than has ever been applied to this problem. First we show learning curves for four different machine learning algorithms. ...

    pdf8p bunrieu_1 18-04-2013 12 1   Download

  • The development of robust accuracy assessment methods for the validation of spatial data represents a difficult challenge for the geospatial science community. The importance and timeliness of this issue are related directly to the dramatic escalation in the development and application of spatial data throughout the latter 20th century. This trend, which is expected to continue, will become increasingly pervasive and continue to revolutionize future decision-making processes.

    pdf292p 951628473 07-05-2012 65 17   Download

  • In the history of the Internet, 2005–2006 will be remembered as the year when online mapping finally came of age. Prior to 2005, MapQuest and other mapping services allowed you to look up directions, search for locations, and map businesses, but these searches were limited, usually to the companies the services had partnered with, so you couldn’t search for any location. On February 8, 2005, Google changed all that. As it does with many of its services, Google quietly released the beta of Google Maps to its Labs incubator (http://labs.google.

    pdf446p tailieuvip13 24-07-2012 46 16   Download

  • RClass*: A Prototype Rough-Set and Genetic Algorithms Enhanced Multi-Concept Classification System for Manufacturing Diagnosis 19.1 Introduction 19.2 Basic Notions 19.3 A Prototype Multi-Concept Classification System 19.4 Validation of RClass * 19.5 Application of RClass * to Manufacturing Diagnosis 19.6 Conclusions 19.1 Introduction Inductive learning or classification of objects from large-scale empirical data sets is an important research area in artificial intelligence (AI). In recent years, many techniques have been developed to perform inductive learning.

    pdf21p nguyen3 13-11-2009 60 14   Download

  • Computer vision uses digital computer techniques to extract, characterize, and interpret information in visual images of a three-dimensional world. The goal of computer vision is primarily to enable engineering systems to model and manipulate the environment by using visual sensing. The field of computer vision can be characterized as immature and diverse. Even though earlier work exists, it was not until the late 1970s that a more focused study of the field started when computers could manage the processing of large data sets such as images....

    pdf0p bi_bi1 11-07-2012 22 8   Download

  • Data Streams Models and Algorithms- P1: In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. In addition, the development of sensor technology has resulted in the possibility of monitoring many events in real time.

    pdf30p alone246 04-09-2010 46 7   Download

  • Data Streams Models and Algorithms- P2: In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. In addition, the development of sensor technology has resulted in the possibility of monitoring many events in real time.

    pdf30p alone246 04-09-2010 41 6   Download

  • Data Streams Models and Algorithms- P6: In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. In addition, the development of sensor technology has resulted in the possibility of monitoring many events in real time.

    pdf30p alone246 04-09-2010 33 6   Download

  • Association rules represent a promising technique to find hidden patterns in a medical data set. The main issue about mining association rules in a medical data set is the large number of rules that are discovered, most of which are irrelevant. Such number of rules makes search slow and interpretation by the domain expert difficult. In this work, search constraints are introduced to find only medically significant association rules and make search more efficient.

    pdf8p lebronjamesuit 23-08-2012 39 6   Download

  • Sometime in your life, you might have to compute the Fourier transform of a really large data set, larger than the size of your computer’s physical memory. In such a case, the data will be stored on some external medium, such as magnetic or optical tape or disk.

    pdf5p babyuni 17-08-2010 33 5   Download

  • Data Streams Models and Algorithms- P3: In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. In addition, the development of sensor technology has resulted in the possibility of monitoring many events in real time.

    pdf30p alone246 04-09-2010 32 5   Download

  • Data Streams Models and Algorithms- P4: In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. In addition, the development of sensor technology has resulted in the possibility of monitoring many events in real time.

    pdf30p alone246 04-09-2010 32 5   Download

Đồng bộ tài khoản