Secured Wireless Sensors Network Using Machine Learning approach Neha Meshram, Student, Department of computer Science and information Technology, Amravati University, Email: meshram.ne@gmail.com Abstract Machine learning inspires many practical solutions that maximize many resource utilization and prolong the lifespan of a network. As wireless sensors network (WSNs) monitor dynamic environment that rapidly changes over time such behavior is either caused by the…

A machine learning approach for emotions classification in Micro blogs ABSTRACT Micro blogging today has become a very popular communication tool among Internet users. Millions of users share opinions on different aspects of life every day. Therefore micro blogging web-sites are rich sources of data for opinion mining and sentiment analysis. Because micro blogging has appeared relatively recently, there are a few research works that are devoted to this topic.In this paper, we are focusing on using…

Crude Oil Price Forecasting Model Using Machine Learning Tapas Peshin1 and Nikolaos V. Sahinidis2 1Graduate Student, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, USA tpeshin@andrew.cmu.edu 2John E. Swearingen Professor, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, USA sahinidis@cmu.edu ABSTRACT The impact of oil price on the social, economic, political and many other aspects of human life is substantial. Oil exemplifies a vital…

Classification of dynamic games according to the level of information available. Information plays a crucial role in Game theory. The high level of importance is due to the fact that it provides us with an outline for different possible strategies that the players might undertake. 4.1. Dynamic Games with Complete Information Complete information implies that each agent knows both the strategies and returns of the other agents participating in the game but they may be not be aware of the particular…

Parallel Support Vector Machine Junfeng Wu Junming Chen May 6, 2016 1 INTRODUCTION Support vector machines is a supervised machine learning alogrithom used for classification. The problem could be written : minimize 1 |w |2 2 yi((w,xi)+b)−1≥0 where w is a linear combination of the training data: n w = αi k(xi ) i=1 this could be further written in a dual form[5]: min 1αTQα−eTα α2 0≤αi ≤C, yTα=0, ∀i ≤n where Q is the kernel matrix. This dual form is a quadratic programming problem with linear…

INTRODUCTION Deep Learning (or deep structured learning, or hierarchical learning or deep machine learning) is a branch of Machine Learning which is based on a set of algorithms that attempts to model high level abstractions in data by using a deep graph with multiple processing layers which are composed of multiple non-linear and linear transformations. Applying Deep Learning to Building Automation Sensors Sensors such as motion detectors, photocells, CO2 and smoke detectors are used primarily for…

An Enhanced Approach for Web Services Clustering using Supervised Machine Learning Techniques ABSTRACT Automatic document classification provides techniques that may improve and support web service clustering. As the number of services increases, the cost of classifying services through manual work increases. In this research, we presented an enhanced approach for service clustering that combines text mining and machine learning technology. The method only uses text description of each service…

recent years, machine learning has made very significant leaps in terms of development. It has undergone a lot of improvement, growth in the industry. Because of its ability to learn and improve itself and make predictions based on data, its popularity has grown leaps and bounds in the recent years mainly due to the large scale data processing and managing capacities of machines nowadays. Many applications of machine learning has come into picture in the recent years. Machine Learning makes use various…

they must “learn”. Learning can be simply defined as the acquisition of knowledge or skills through study, experience, or being taught. Although learning is an easy task for most of the people, to acquire new knowledge or skills from data is too hard and complicated for machines. Moreover, the intelligence level of a machine is directly relevant to its learning capability. The study of machine learning tries to deal with this complicated task. In other words, machine learning is the branch of artificial…

Selection and Classification Using Support Vector Machine Abstract— Classification problems often have a large number of features in the data sets, but only some of them are useful for classification. Data Mining Performance gets reduced by Irrelevant and redundant features. Feature selection aims to choose a small number of relevant features to achieve similar or even better classification performance than using all features. It has two main objectives are maximizing the classification performance…