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self-organizing learning algorithm

INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON 
SELF DISCLOSURE LEVELS VIA FACEBOOK

INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON SELF DISCLOSURE LEVELS VIA FACEBOOK

... a Self-Organizing Map Algorithm (SOM) – an unsupervised learning of a machine learning to classify the sentiments (positive, negative, or neutral) for all the documents of our testing ...

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A New Dynamic Self Organizing Method for Mobile Robot Environment Mapping

A New Dynamic Self Organizing Method for Mobile Robot Environment Mapping

... incremental learning to the robot environ- ment ...a self creating and organizing neural network for workspa- ce recognition and navigation of an autonomous mobile ...by learning are also ...

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Distributed Range Free Localization Algorithm Based on Self Organizing Maps

Distributed Range Free Localization Algorithm Based on Self Organizing Maps

... The learning process takes place locally at each node, where the input pattern is estimated location of the node (this input is dynamically changed over time except that the anchors use their known ...the ...

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Reinforcement Learning in Self Organizing Cellular Networks

Reinforcement Learning in Self Organizing Cellular Networks

... machine learning is a promising tool for data-driven de- cision making in ...allocation algorithm (Q-DPA) as a self-organizing mechanism that enables ongoing transmit power adaptation as new ...

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Using self-organizing maps for visualization and interpretation of cytometry data

Using self-organizing maps for visualization and interpretation of cytometry data

... the algorithm is to build a self-organizing ...the self-organizing map algorithm can be provided, such as the dimensions of the grid, the learning rate, the number of ...

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SOTXTSTREAM: Density-based self-organizing clustering of text streams

SOTXTSTREAM: Density-based self-organizing clustering of text streams

... online learning, learning is restricted to one object at a time with an updated model being available after every ...pass algorithm performs a single-pass over all objects never revisiting an object ...

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Multistrategy self-organizing map learning for classification problems

Multistrategy self-organizing map learning for classification problems

... Machine Learning (ML) techniques will be used and introduced by many researchers as alternative solutions to solve the above ...Genetic Algorithm (GA), Swarm Intelli- gence (SI), and rough set are commonly ...

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Possibilities at the Intersection of AI and Blockchain Technology

Possibilities at the Intersection of AI and Blockchain Technology

... a self-defensive, efficient and self-organizing intelligent algorithm by using blocks and fuzzy logic theory(FLT) to protect ledger of blockchain from malware attacks by the application of ...

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Least squares support vector machine with self-organizing multiple kernel learning and sparsity

Least squares support vector machine with self-organizing multiple kernel learning and sparsity

... supervised learning methods, RFs, NNs, and SVMs are the most widely applied ...ensemble algorithm, RFs are robust to noise and have good generalization ...

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Music and Mood Detection using BoF Approach

Music and Mood Detection using BoF Approach

... KNN algorithm as well as self organizing ...codebook learning and codeword asssignment, max pooling in the segment level,sum pooling in the clip level , logarithm tf-idf function plus entropy ...

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Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm

Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm

... A Neural Network (NN) is a large system containing parallel or distributed processing components called neurons connected in a graph topology. These neurons are connected through weighted connections called synapses. ...

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Gist+RatSLAM: An Incremental Bio-inspired Place Recognition Front-End for RatSLAM

Gist+RatSLAM: An Incremental Bio-inspired Place Recognition Front-End for RatSLAM

... ing self-organizing neural network is implemented, which models the competitive behavior of the cells found in visual and perirhinal ...place learning in unknown ...for learning large scale ...

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Distance and Autonomous Self-Access Learning: The Necessity of Closeness and Authoritative Organizing

Distance and Autonomous Self-Access Learning: The Necessity of Closeness and Authoritative Organizing

... online learning environment is something different from the traditional classroom, so the challenges for our future online teachers will be identifying and utilizing the advantages (easy access to writing ...

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Organizing Self-Experiences

Organizing Self-Experiences

... special organizing role in determining the development of brain structure early in life and the ongoing emergence of brain function throughout the lifespan” ...

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MUNICIPAL CREDITWORTHINESS MODELLING BY NEURAL NETWORKS

MUNICIPAL CREDITWORTHINESS MODELLING BY NEURAL NETWORKS

... rating-based models. The classes are assigned to the municipalities by rating agencies. Therefore, the methods capable of processing and learning the expert knowledge, enabling their user to generalize and ...

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Online self-organizing social systems: The decentralized future of online learning

Online self-organizing social systems: The decentralized future of online learning

... Online self-organizing social systems (OSOSS) are facilitated by a particular type of software infrastructure, one that is generally web-based and characterized by a high degree of management ...online ...

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Comparative Performance Analysis of Optimal Meta-Heuristic Approaches for Hydrothermal Coordination

Comparative Performance Analysis of Optimal Meta-Heuristic Approaches for Hydrothermal Coordination

... search algorithm with time varying acceleration coefficients (SH_GSA- TVAC) has been successfully implemented to solve short term hydrothermal coordination (STHTC) ...proposed algorithm has been applied on ...

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Self-organizing networks

Self-organizing networks

... their algorithm is the minimization of the number of sectors while maintaining sufficient signal strength and keeping call blocking within a speci- fied ...

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Sentiment Classification Based on Adaboost Algorithm for Product Aspect Ranking

Sentiment Classification Based on Adaboost Algorithm for Product Aspect Ranking

... This Product Aspect Ranking application is used to find out the aspect ranking based on the aspect frequency and the opinion on that particular aspect from consumer reviews. I divide the system into four modules. They ...

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Effective Character Recognition using ANN & Convolution Techniques.

Effective Character Recognition using ANN & Convolution Techniques.

... Character recognition is performed off-line after the writing or printing has been completed, as opposed to on-line recognition where the computer recognizes the characters as they are drawn. Both hand printed and ...

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