[PDF] Top 20 An Optimal Machine Learning Approach for Large-scale Applications
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An Optimal Machine Learning Approach for Large-scale Applications
... Abstract-Online learning is an important module of optimal machine learning techniques used in large-scale application ...many applications to solve the problems raised by ... See full document
6
Revisiting the Nystr{\"{o}m} Method for Improved Large-scale Machine Learning
... larger scale than the optimal error, and the trace norm bounds all guarantee relative error ...potentially large additional errors in the case of the spectral and Frobenius norms— whether or not the ... See full document
65
Optimal Resource Allocation and Reservation using DAR in Large Scale Applications
... using machine learning algorithms. Distributed applications are using cloud service providers ...the optimal selection by minimizing the cost along with resource ...the optimal ... See full document
7
A System Level Approach to Optimal Controller Design for Large-Scale Distributed Systems
... level approach to con- troller synthesis, and showed its applications to design controllers for large-scale distributed ...level approach consists of three main elements: System Level ... See full document
165
Detecting Design Patterns in Object Oriented Program Source Code by Using Metrics and Machine Learning
... and machine learning for detecting firstly roles and secondly patterns as structure of those roles 1 ...by machine learning based on the measurement of metrics without using strict condition ... See full document
17
Automatically Learning Source side Reordering Rules for Large Scale Machine Translation
... extraction, optimal feature weights, and the ac- tual translation, it would be necessary to retrain the entire phrase-based system for each possible rule, which is ... See full document
9
Large scale Multitask Learning for Machine Translation Quality Estimation
... first approach is sensible because, in the limit, the models built should reflect the “average” strate- gies/preferences of ...second approach can lead to very accurate models but it requires sufficient ... See full document
10
Mobile Applications for Diabetes Self-Care and Approach to Machine Learning
... 275,000 applications are availa- ble for the Android operating system and every year there are millions of ...the large amount of data generated by this application with invaluable features such as validity ... See full document
14
A Deep Learning Approach: Domain Adaptation for Large-Scale Sentiment Analysis
... Surge of research in sentiment classification (or sentiment analysis) has been created with the rise of social media such as blogs and social networks, reviews, ratings and recommendations are rapidly proliferating; ... See full document
7
LIBOL: A Library for Online Learning Algorithms
... Online learning represents an important family of efficient and scalable machine learning algorithms for large-scale ...online learning algorithms are fast, sim- ple, and often ... See full document
5
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 ... See full document
29
Bucking the Trend: Large Scale Cost Focused Active Learning for Statistical Machine Translation
... One of the most successful of all AL methods de- veloped to date is uncertainty sampling and it has been applied successfully many times (e.g.,(Lewis and Gale, 1994; Tong and Koller, 2002)). The intuition is clear: much ... See full document
11
The Study of the Large Scale Twitter on Machine Learning
... using machine learning since its earliest ...on machine learning. After the acquisition, machine learning contributed to spam detection and other applications within ... See full document
5
Large Scale Machine Learning on Debugging Machine Learning Systems
... the applications of today's function, we bring it in an infinitely more unique feeling to denote the purchase of architectural explanations from types of what's being ...“inductive learning”, and “inductive ... See full document
6
A view of programming scalable data analysis: from clouds to exascale
... analysis applications cannot be practically solved on sequential ...real-world applications, each large-scale data mining and machine learning software that today is under ... See full document
16
Optimise web browsing on heterogeneous mobile platforms:a machine learning based approach
... three-stage approach for predicting the right processor configuration when rendering a ...Our approach begins from extracting information (termed as feature extraction), from the DOM tree and style data to ... See full document
9
An Improved Approach of Intention Discovery with Machine Learning for POMDP-based Dialogue Management
... software applications to interact with users through verbal/nonverbal expressions and to provide online assistance without the limits of time, location, and ...a machine learning technique is ... See full document
156
Question Answering Using a Large Text Database: A Machine Learning Approach
... [r] ... See full document
7
Advanced Machine Learning Approach: Deep Learning
... deep learning is that the two different things are not categorized by using structured / labeled ...deep learning neural networks sends the input (image information) through entirely different layers of the ... See full document
5
Named Entity Recognition for Telugu Language
... uses large amount of annotated data to train the ...machines[10].This approach explores the study and algorithms that can learn from and make predictions on ...data.This approach is used to build a ... See full document
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