[PDF] Top 20 Optimization of Machine Learning Process Using Parallel Computing
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Optimization of Machine Learning Process Using Parallel Computing
... ML process- es. In fact, a relatively simple improvement of the learning process is possible by applying PC in ML algorithm, which was the idea for this ...paper. Optimization will be shown on ... See full document
7
Optimization of Agricultural BMPs Using a Parallel Computing Based Multi-Objective Optimization Algorithm
... the optimization result uncertainties, further studies are required to improve the SWAT model setup, parameterization, BMP characterization, and ε- NSGA-II ... See full document
12
Combined objective optimization in Identical Parallel Machine Scheduling problem using PSO
... first machine as shown in ...the machine which completes the assigned job first is assigned with a new job from the sequence in ...second machine assigned with job number 4 completes the job first as ... See full document
5
Java Thread and Process Performance for Parallel Machine Learning on Multicore HPC Clusters
... Parallel machine learning is a blooming area in Big Data with a high demand for ...with parallel machine learning is its sensitivity to performance variations in individual ... See full document
10
Social Media Sentiment Analysis using Machine Learning and Optimization Techniques
... of using Swarm Intelligence optimization algorithms with ...Vector Machine may be those machine learning technicalities used for the binary classification of ... See full document
6
Java Thread and Process Performance for Parallel Machine Learning on Multicore HPC Clusters
... Multidimensional Scaling (MDS) on Intel Haswell HPC Cluster with 24 core nodes. and 40Gbps Infiniband[r] ... See full document
17
Intersection of HPC and Machine Learning
... chine learning and HPC technologies in big data applica- ...are using data flow execution model while others utilizes BSP model ...for parallel machine learning has enhanced the ... See full document
5
Optimization of sentiment analysis using machine learning classifiers
... state-of-the-art machine learning classifiers ...for optimization of sentiment analysis. The experiments are performed using three manually compiled datasets; two of them are captured from ... See full document
12
Machine Learning in Compiler Optimization
... the computing environ- ment and workloads, ensemble learning was exploited in prior works [71], [114], ...ensemble learning is to use multiple learning algorithms, where each algorithm is ef- ... See full document
21
Ongole Breed Cattle Health Expert Advisory System Using Parallel Particle Swarm Optimization Algorithm
... systems using machine learning algorithm techniques to advice the farmers through online in ...domain. Machine Learning is a mechanism, used in the development of Expert systems, ... See full document
5
Stock Market Forecasting Using Machine Learning
... flexible computing frameworks and universal approximates that can be applied to a wide range of forecasting problems with a high degree of ...However, using ANNs to model linear problems have yielded mixed ... See full document
11
Machine learning in manufacturing : advantages, challenges, and applications
... a machine/artificial system (Alpaydin, ...by parallel processing (in reality or simulated) and allow an artificial system to perform unsupervised, reinforcement, and supervised learning tasks ...to ... See full document
23
Business Intelligence for Social Networks Using Data Mining Techniques
... the process of examine data from various view and summarizing into useful ...non-trivial process of identifying valid, novel and useful information patterns in ...base process (KDD).And is merging ... See full document
8
A NOVEL LEADER ELECTION ALGORITHM FOR HONEYCOMB MESH NETWORKS
... search optimization process by combining two different searching techniques was ...first optimization technique carried out its searches with the help of an extreme learning machine ... See full document
11
ISSN: 2321-8363 Impact Factor: 4.123
... cloud computing, our current system will be supporting on cloud ...Green Computing. Green computing overcomes all the drawbacks in the cloud ... See full document
7
ONLINE NETWORK BASED ELECTRONIC-LEARNING VIA CLOUD COMPUTING SAAS
... e- learning is becoming very interesting to ...the learning elements (Online portals, test and assessments, lecture notes in the form of video, doc and ppt ... See full document
5
Optimization of Transmission of a Roll Forming Machine using a Planetary Gearbox
... forming process in which strips of metal are passed through rollers to continuously bend them into the desired cross ...the machine consists of worm ... See full document
7
A New Feature Extraction Algorithm to Extract Differentiate Information and Improve KNN-based Model Accuracy on Aquaculture Dataset
... In this research, we use a ML algorithm named KNN to predict the condition of a shrimp pond based on several water parameters. Then, the grid search algorithm is used to find the best number of k, which is giving the ... See full document
9
Optimization of a Hybrid Energy Storage System for Electric Vehicles Using Machine Learning Methods
... offline optimization policy are similar to the machine learning policy however when closely comparing their shapes, they’re quite ...the machine learning policy is in during the highway ... See full document
99
Computing procedures for a learning machine
... An optimal path from node i to node j has the lowest cost over all possible paths from node i to node jo An admissible algorithm considers only the set of arc costs it has to work with s[r] ... See full document
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