[PDF] Top 20 Improving the Performance of P2P Routing using Adaptive Machine Learning
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Improving the Performance of P2P Routing using Adaptive Machine Learning
... energy, machine learning, P2P, ...(P2P) routing is generally performed on networks which are co-operative in ...of routing requires careful design of the routing protocol, ... See full document
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Improving Adaptive Video Streaming through Machine Learning
... workflow using MPC which is based on the assumption that network condition should be reasonably stable and do not change too drastically within a short period of ... See full document
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Adaptive cache prefetching using machine learning and monitoring hardware performance counters
... that the model will predict prefetching options having positive impact. For building the model if negative samples are used then the model might map some of the cache statistics to prefetching options which might ... See full document
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Maximizing Throughput using Adaptive Routing Based on Reinforcement Learning
... transient performance, message losses, congestion, noise and other harms cause these guarantees to be ...congestion. Using feedback control to address both steady state and transient behavior seems to hold ... See full document
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Manage traffic in P2P live streaming using adaptive routing scheduling over video on demand service
... to P2P computing and file sharing technique. While the usage of P2P technique is increasing at an unprecedented rate, but on the other side P2P computing has its own difficult to providing better ... See full document
7
Adaptive Post-silicon Server Validation using Machine Learning
... Processor performance states or pstates are a pre-defined set of voltage and frequency combinations at which a CPU can run for optimum power and ...by using model specific register’s ... See full document
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Improving VIX Futures Forecasts using Machine Learning Methods
... Quality Assessment of Results for RF: Fig. 33 shows the RF scatterplot of the output for the training versus test actual and estimated values as well as 1 to 1 plot of the perfect output for the training dataset as a ... See full document
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Improving Software Maintenance using Unsupervised Machine Learning techniques
... correct. Performance has been evaluated in terms of the accuracy rate, calculated for each individual type of short form and for the overall set of identifiers, according to the different distributions of types in ... See full document
212
Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning
... test sets; hence, the estimated error rates are expected to be lower than they would be when trained on our training set. ExonHunter is a comprehensive gene finder that can use many experimental sources of information. ... See full document
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Improving Swarm Performance by Applying Machine Learning to a New Dynamic Survey
... 38 4.4 First Dynamic Survey Prototype Findings Once all users completed both surveys, the data was analyzed by a Unanimous AI engineer, Gregg Wilcox, to verify that the Dynamic Survey improved performance ... See full document
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Improving Performance of Wireless Ad Hoc Network Using Routing Protocol
... Trust Calculation Yes B. Modules Description 1) Network Formation: Network formation is illustrated as shown in Figure 4.1 an aspect of creating nodes of network and transmits data. The decentralized nature of wireless ... See full document
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Improving performance of a hyper heuristic using a multilayer perceptron for vehicle routing
... Apprenticeship learning arises while observing the behaviour of an expert in ...apprenticeship learning algorithm to improve upon the performance of a state-of-the-art selection hyper-heuristic used ... See full document
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Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning
... The fewer actuation cycles required in a game, the better 3 The complete simulation results for various sizes of DMFBs are provided in the supplementary file. the performance is. We observe that the agent performs ... See full document
Adaptive Knowledge Sharing in Multi Task Learning: Improving Low Resource Neural Machine Translation
... Figure 2 shows the average percentage of block usage for each task in an MTL model with 3 shared blocks, on the English-Farsi test set. We have ag- gregated the output of the routing network for the blocks in the ... See full document
6
Improving and Securing Machine Learning Systems
... the performance of MLaaS platforms, with a focus on understanding how user control impacts both the performance and performance variance of classification in common ML ...potential performance ... See full document
207
Machine learning for improving heuristic optimisation
... outstanding performance. Using NA and IE move acceptance in a multi-stage man- ner switching between them enforces diversification and intensification ...best performance of the winning approach in ... See full document
173
Improving Pure-Tone Audiometry Using Probabilistic Machine Learning Classification
... an adaptive pure-tone detection task that is typically performed manually by audiologists, costing millions of collective hours annually among healthcare ... See full document
165
Title: A Review of Improving Software Quality using Machine Learning Algorithms
... Quality control: Software Quality Control is the set of procedures used by organizations to ensure that a software product will meet its quality goals at the best value to the customer, and to continually improve the ... See full document
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Socialized Proficient Routing in Opportunistic Mobile Network Using Machine Learning Techniques
... evaluated using performance metrics like Message Delivery Probability (MDP), Average Delivery Delay (ADD), Average Hop Cost/Count (AHC), Dropped Messages (DM) and Overhead Ratio ...proficient routing ... See full document
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Unsupervised machine-learning method for improving the performance of ambulatory fall-detection systems
... Preliminary testing suggests the methods described here are noteworthy particularly for researchers who are attempting to improve the performance of ambulatory fall-detec- tion systems. The methods should also be ... See full document
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