Machine learning data-set
A machine-learning data set prepared from the NASA solar dynamics observatory mission
... a data-rich age in which the human intellect alone is incapable of processing the copious amounts of data gathered by NASA ’ s ever-growing spacecraft fl ...in machine-learning research will ...
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Low Replicability of Machine Learning Experiments is not a Small Data Set Phenomenon
... of data set ...smaller data sets than the algorithm is going to be used ...the learning curves cross after the point where the test is performed (anecdotic evidence sug- gests this has ...
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A COMPARISON OF VARIOUS MACHINE LEARNING ALGORITHMS FOR WHEAT SEED DATA SET CLASSIFICATION
... Abstract:Machine Learning is the fast emerging technology which is poised to dominate in almost all walks of ...life. Machine Learning not only analyses data, but also predicts future ...
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Rough Set Approach in Machine Learning: A Review
... of learning processes and eliminates the unimportant or irrelevant attributes so that the knowledge discovery in database or in experimental data sets can be efficiently ...imprecise data, ...
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Machine learning on encrypted data
... Machine Learning is a field of research that focuses on extracting information from ...Big Data or Data Mining. There are countless algorithms in Machine Learning with inputs ...
183
Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods
... Multi-label learning The defining characteristic of multi-label as opposed to single-label data is that each instance can belong to several classes at ...rough set theory to derive a con- sensus ...
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Machine Learning Technique For Enhancing Classification Performance In Data Summarization Using Rough Set And Genetic Algorithm
... Therefore, RS-GA gave a better accuracy than RS-single alone with mean of accuracy is 99.95%. It is also supported by other performance metrics evaluation such as precision, recall, sensitivity, specificity, error rate, ...
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Machine Learning for Big Data Analytics
... Big Data, Machine Learning, Supervised learning, unsupervised learning, Semi-supervised, Reinforcement ...huge data explosion, largely due to the widespread presence of the ...
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Big Data Optimization in Machine Learning
... free set leads to cheap iter- ation, but also often suffers from slow ...free set is a singleton, which takes lots of iteration/coordinate updates to ...free set. It is required that the free ...
164
Distributed Machine Learning and Big Data
... Epsilon (2000 features, 6000 datapoints) test set accuracy with varying number of partitions. Sourangshu Bhattacharya (IITKGP) Distributed ML August 21, 2015 65 / 76.[r] ...
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Big Data And Machine Learning Certification
... from data learning online interactive platform to analytically approach ...and machine certification by human like statistical concepts and more advanced analytics course teaches predictive algorithm ...
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Practical Machine Learning and Data Analysis
... Sensors drift and are replaced. Sales patterns show periodic behaviour. There may be sampling bias in the data set. A large amount of parameters is no guarantee for successful modelling. What we actually ...
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Optimal Data Distributions in Machine Learning
... active learning community that focus on linear regression, like [63], seem closely related to our ...active learning setting, the dependence of the target function disappears in this case and the ...
125
Unsupervised Machine Learning on Encrypted Data
... encrypted data, Machine Learning has been one of the most popular applications in the recent ...supervised learning, where there is a labeled training set that is used to configure the ...
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Production Data Analysis by Machine Learning
... production data from ultra-low permeability reservoirs has quite different features than data from conventional ...production data when learning decline ...production data from N wells ...
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Machine Learning and Data Analysis in Astroinformatics
... and data mining tools and methods are in place and are gradually permeating the astronomical community, although their uptake has been slower than what could be hoped ...massive data sets foreseeable for ...
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An approach to Machine Learning with Big Data
... of data from their customers and applications. Data can include various information, for example, which products have been searched and purchased from online stores, how location or battery state of mobile ...
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Postprocessing in Machine Learning and Data Mining
... The data that are to be processed by a knowledge acquisition algorithm are usually noisy and often inconsistent ...actual data analysis ...actual data analysis ...a set of decision rules, or ...
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The Set Covering Machine
... the data. Another important issue concerns the set of features used by the ...that data-dependent balls will always give the best ...use data-dependent ...larger set of features than ...
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Different mutation and crossover set of genetic programming in an automated machine learning
... the machine learning pipelines ...of machine learning models pooled from the pre-data processing to the hyper-parameters ...of machine learning algorithms that requires a ...
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