Titlebook: Hybrid Artificial Intelligent Systems; 12th International C Francisco Javier Martínez de Pisón,Rubén Urraca,Em Conference proceedings 2017

industrious

書目名稱Hybrid Artificial Intelligent Systems影響因子(影響力)




書目名稱Hybrid Artificial Intelligent Systems影響因子(影響力)學(xué)科排名




書目名稱Hybrid Artificial Intelligent Systems網(wǎng)絡(luò)公開度




書目名稱Hybrid Artificial Intelligent Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Hybrid Artificial Intelligent Systems被引頻次




書目名稱Hybrid Artificial Intelligent Systems被引頻次學(xué)科排名




書目名稱Hybrid Artificial Intelligent Systems年度引用




書目名稱Hybrid Artificial Intelligent Systems年度引用學(xué)科排名




書目名稱Hybrid Artificial Intelligent Systems讀者反饋




書目名稱Hybrid Artificial Intelligent Systems讀者反饋學(xué)科排名

多嘴

Pedagogy

怪物

0302-9743 gorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications..978-3-319-59649-5978-3-319-59650-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

不遵守

Hybrid Methodology Based on Bayesian Optimization and GA-PARSIMONY for?Searching Parsimony Models byExperiments with Extreme Gradient Boosting Machines (XGBoost) and six UCI databases demonstrate that the hybrid methodology obtains analogous models than the GA-PARSIMONY but with a significant reduction on the execution time in five of the six datasets.

Engaging

Constant

Optimization of Joint Sales Potential Using Genetic Algorithm of a group of . nodes in an .-node undirected complex network. The algorithm is tested with artificial and real networks and gives satisfactory results. This shows the algorithm’s effectiveness in joint sales potential optimization.

miniature

Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews?e polarity of the document evaluated by the user and the aggregated sentence polarity evaluated by three SAMs. The main contribution of this work is to show the flimsiness of user ratings as a generalization of the overall review sentiment.

不安

A Review of Distributed Data Models for Learnings that have been used to treat each case, although it is not a review of learning or computation algorithms. Finally, this report looks into the issues that new data partitioning-based models such as MapReduce have brought to distributed learning.

Sedative