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Title: E-Learning Learning Through Internet
Page Link: E-Learning Learning Through Internet -
Posted By: project topics
Created at: Friday 02nd of April 2010 06:16:20 PM
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Abstract:
This paper presents an approach for integrating e-learning with the traditional education system. A conceptual map is then created for this integration leading to a functional model for open and flexible learning. In the proposed integration, convergence of CD-based, class based and web based education in recommended and architecture to achieve this convergence is presented. In order to transform the existing schools, colleges and universities into digital campuses, an inclusive system architecture is designed for digital campus. A c ....etc

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Title: Machine Learning with WEKA PPT
Page Link: Machine Learning with WEKA PPT -
Posted By: seminar details
Created at: Tuesday 05th of June 2012 05:23:04 PM
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Machine Learning with WEKA




WEKA: the software



Machine learning/data mining software written in Java (distributed under the GNU Public License)
Used for research, education, and applications
Complements “Data Mining” by Witten & Frank
Main features:
Comprehensive set of data pre-processing tools, learning algorithms and evaluation methods
Graphical user interfaces (incl. data visualization)
Environment for comparing learning algor ....etc

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Title: MACHINE LEARNING
Page Link: MACHINE LEARNING -
Posted By: smart paper boy
Created at: Saturday 30th of July 2011 02:05:03 PM
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Preface
These notes are in the process of becoming a textbook. The process is quite
un nished, and the author solicits corrections, criticisms, and suggestions from
students and other readers. Although I have tried to eliminate errors, some un-
doubtedly remain|caveat lector. Many typographical infelicities will no doubt
persist until the nal version. More material has yet to be added. Please let Some of my plans for additions and
other reminders are mentioned in
marginal notes. me have your suggestions about ....etc

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Title: neural networks learning process free ppt downloads
Page Link: neural networks learning process free ppt downloads -
Posted By:
Created at: Saturday 13th of October 2012 02:14:18 AM
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Title: a machine learning approach for identifying disease treatment relations in short texts ppt free download
Page Link: a machine learning approach for identifying disease treatment relations in short texts ppt free download -
Posted By:
Created at: Saturday 06th of October 2012 03:39:16 AM
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Title: Learning In Neural Networks
Page Link: Learning In Neural Networks -
Posted By: smart paper boy
Created at: Saturday 06th of August 2011 05:38:03 PM
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INTRODUCTION
Artificial intelligence is the part of computer science concerned with designing intelligent computers.
Learning implies that a processing unit is capable of changing its input/output behavior as a result of changes in the environment
NEURAL NETWORKS
Process of humans doing intelligent things.
Neural networks and artificial neurons
Brain modeling
Artificial system building
LEARNING IN ARTIFICIAL NEURAL NETWORKS
Machine Learning
Learning Agents
Ideal Ration ....etc

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Title: Learning a Propagable Graph for Semisupervised Learning Classification and Regressio
Page Link: Learning a Propagable Graph for Semisupervised Learning Classification and Regressio -
Posted By: Projects9
Created at: Monday 23rd of January 2012 06:12:54 PM
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Abstract—In this paper, we present a novel framework, called learning by propagability, for two essential data mining tasks, i.e., classification and regression. The whole learning process is driven by the philosophy that the data labels and the optimal feature representation jointly constitute a harmonic system, where the data labels are invariant with respect to the propagation on the similarity graph constructed based on the optimal feature representation. Based on this philosophy, a unified framework of learning by propagability is propos ....etc

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Title: ELEMENTARY MACHINE LEARNING FOR WEBMINING full report
Page Link: ELEMENTARY MACHINE LEARNING FOR WEBMINING full report -
Posted By: project topics
Created at: Wednesday 07th of April 2010 01:00:23 AM
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ELEMENTARY MACHINE LEARNING FOR WEBMINING


Algorithms that automatically discovers all pages in a website whose location is different from the location where visitors expect to find them and for selecting the set of navigation links to optimize the benefit to the website are proposed.
It is hard to organize a website such that pages are located where visitors expect to find them


APPROACHES

New search mechanism called SmartSeek is introduced
Machine learning concepts Employs genetic ....etc

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Title: Online System for Grid Resource Monitoring and Machine Learning-Based Prediction
Page Link: Online System for Grid Resource Monitoring and Machine Learning-Based Prediction -
Posted By: Projects9
Created at: Monday 23rd of January 2012 07:36:43 PM
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Abstract—Resource allocation and job scheduling are the core functions of grid computing. These functions are based on adequate information of available resources. Timely acquiring resource status information is of great importance in ensuring overall performance of grid computing. This work aims at building a distributed system for grid resource monitoring and prediction. In this paper, we present the design and evaluation of a system architecture for grid resource monitoring and prediction. We discuss the key issues for system implementatio ....etc

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Title: Neural Networks For Location Prediction In Mobile Networks
Page Link: Neural Networks For Location Prediction In Mobile Networks -
Posted By: seminar class
Created at: Friday 22nd of April 2011 01:33:36 PM
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ABSTRACT
Location prediction serves to save capacity on the air interface of mobile radio networks. A selection of neural networks of the feed-forward and feedback type are examined to prove their suitability for this purpose. As first results preferable network structures, input vectors, learning parameters and the simulated prediction probabilities are presented. A comparison with conventional methods shows the advantages and disadvantages of the use of neural networks for motion prediction. The results show that t ....etc

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