Machine Learning, Large-scale data sets learning, Social Network Analysis
Statistical Machine Learning Methods for the Large Scale Analysis of Neural Data
... the analysis of a single-electrode scan; ...The analysis was done in parallel, with twenty threads analyzing single amplitude series (details in section ...the scale of the analysis of several ...
196
Distributed Data Analysis For Large-Scale Social Networks
... This paper addresses the issue of discovering k closest neighbors for moving question point (we call it k-NNMP). It is a vital issue in both portable registering exploration and genuine applications. The issue expects ...
5
Regularized Extreme Learning Machine for Large-scale Media Content Analysis
... five sets and we use four sets of all the persons to train the algorithms and measure their performance on the remaining ...Vector Machine (SVM) ...
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Revisiting the Nystr{\"{o}m} Method for Improved Large-scale Machine Learning
... in data analysis and machine learning ...common data preprocessing steps on the performance of these algorithms; and they point to important differences between uniform sampling and ...
65
A Comparative Evaluation of Meta-Learning Strategies over Large and Distributed Data Sets
... selected data set into subsets that are neither too large for the available system resources nor too small to yield inferior classification ...a large real world data set, we find no specific ...
16
Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets
... classifier learning problem as one of learning a low-rank Mahalanobis distance which is shared across all ...for learning such a ...metric learning algorithm based on multi- class logistic ...
38
On Distributed Deep Network for Processing Large-Scale Sets of Complex Data
... feature learning and deep learning has shown that being able to train large models can dramatically improve ...deep network with hundreds of parameters using distributed CPU ...deep ...
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A Framework for Implementing Machine Learning algorithms using Data sets
... hackers. Social networking became popular over the past decade, cyber attackers using social media for identification of their ...store data remotely and retrieve on requirement of the cloud user, ...
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Large scale Multitask Learning for Machine Translation Quality Estimation
... test sets, but those for the en-es test sets fol- low the same ...training data), where the crosslin- gual multitask learning model reaches ...multitask learning model performs at ...
10
Machine learning for understanding complex, interlinked social data
... from data: organising objects into logical groupings is fundamental to human understanding ...within data and ways to gain insight and predict future behaviour is nothing new ...regression). Data ...
346
Unsupervised Learning Of Finite Mixture Models With Deterministic Annealing For Large scale Data Analysis
... sample data as a mixture distribution of finite number of components in a way in which each sample is independently drawn from a mixture distribution of latent or hidden components of size K with mixing ...In ...
84
Binary Representation Learning for Large Scale Visual Data
... massive data mining and large-scale machine learning [93, 27, 84, ...valued data into compact binary codes, leading to considerable savings on both space (storage and ...
120
Validating the validation: reanalyzing a large-scale comparison of deep learning and machine learning models for bioactivity prediction
... formal analysis, due to the presence of noise, one would likely consider the difference in mean performances on assay A, ...the data, and thus accounts for the variability of the respective ...
14
Using machine learning for exploratory data analysis and predictive models on large datasets
... big data, machine learning has been widely used in many technologies and industries, which is able to get computers to learn without being explicitly ...supervised learning techniques, some ...
92
Review of Machine Learning based Sentiment Analysis on Social Web Data
... sentiment analysis tests SVM outperformed the remaining ML ...sentiment analysis is better compared to ...sentiment analysis by applying NB and SVM classifiers with different feature weighting and ...
5
A survey of machine learning approaches to analysis of large corpora
... of data to facilitate automatic recognition of the underlying semantic content and ...with machine-learning software trainable on annotated corpora for word-sense disambiguation, co-reference ...
9
Large Scale Machine Learning in Biology
... in social graphs, there have been several papers [Newman and Girvan, 2004] [Newman, 2006] focused on computing clusters of nodes in a graph where pairs of nodes within a cluster have a higher probability of having ...
143
Lifelong Machine Learning and root cause analysis for large-scale cancer patient data
... future learning leads to the next gen- eration of machine ...Lifelong learning mimics incremental and always learning experience of human ...a large volume of a historical dataset ...
29
Large Scale Machine Learning on Debugging Machine Learning Systems
... a network with only 6 ...neural network for the Cart Pole ...Robustness Analysis of Programs. Many works deal with robustness analysis of ...
6
Detecting and Recovery of Private Information in Large Scale Social Network using mixed Machine Learning Techniques
... of social network to analyze, the aim is always to share the own experiences and what happens during a simple ...and analysis process, a reconstruction of user’s profile more detailed than it is on ...
6