Sökning: "Support vector machine learning SVM"

Visar resultat 11 - 15 av 23 avhandlingar innehållade orden Support vector machine learning SVM.

1. 11. High-Performance Computing For Support Vector Machines

   Författare :Shirin Tavara; Alexander Schliep; Alexander Karlsson; Richard Johansson; Högskolan i Skövde; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ; INF301 Data Science; INF301 Data Science;

   Sammanfattning : Machine learning algorithms are very successful in solving classification and regression problems, however the immense amount of data created by digitalization slows down the training and predicting processes, if solvable at all. High-Performance Computing(HPC) and particularly parallel computing are promising tools for improving the performance of machine learning algorithms in terms of time. LÄS MER

3. 12. Privacy-guardian : the vital need in machine learning with big data

   Författare :Xuan-Son Vu; Jiang Lili; Erik Elmroth; Stan Matwin; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Social Network Sites (SNS) such as Facebook and Twitter, play a great role in our lives. On one hand, they help to connect people who would not otherwise be connected. Many recent breakthroughs in AI such as facial recognition [Kow+18], were achieved thanks to the amount of available data on the Internet via SNS (hereafter Big Data). LÄS MER

4. 13. Transition-Based Natural Language Parsing with Dependency and Constituency Representations

   Författare :Johan Hall; Joakim Nivre; Welf Löwe; Sandra Kübler; Växjö universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Natural Language Parsing; Syntactic Parsing; Dependency Structure; Phrase Structure; Machine Learning; Computer science; Datavetenskap; Computer and Information Sciences Computer Science; Data- och informationsvetenskap;

   Sammanfattning : Denna doktorsavhandling undersöker olika aspekter av automatisk syntaktisk analys av texter på naturligt språk. En parser eller syntaktisk analysator, som vi definierar den i denna avhandling, har till uppgift att skapa en syntaktisk analys för varje mening i en text på naturligt språk. LÄS MER

5. 14. Automated Gravel Road Condition Assessment : A Case Study of Assessing Loose Gravel using Audio Data

   Författare :Nausheen Saeed; Moudud Alam; Roger G. Nyberg; Diala Jomaa; Mirka Kans; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Gravel roads; road maintenance; convolutional neural network CNN ; SVM; decision trees; ensemble bagged trees; GoogLeNet; ResNet50; ResNet18; sound analysis;

   Sammanfattning : Gravel roads connect sparse populations and provide highways for agriculture and the transport of forest goods. Gravel roads are an economical choice where traffic volume is low. In Sweden, 21% of all public roads are state-owned gravel roads, covering over 20,200 km. LÄS MER

7. 15. Multivariate Data Analytics to Identify Driver’s Sleepiness, Cognitive load, and Stress

   Författare :Shaibal Barua; Shahina Begum; Peter Funk; Mobyen Uddin Ahmed; Christer Ahlström; Nirmalie Wiratunga; Mälardalens högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Driver monitoring; Driver state; Physiological signals; Machine learning; Contextual information; Computer Science; datavetenskap;

   Sammanfattning : Driving a vehicle in a dynamic traffic environment requires continuous adaptation of a complex manifold of physiological and cognitive activities. Impaired driving due to, for example, sleepiness, inattention, cognitive load or stress, affects one’s ability to adapt, predict and react to upcoming traffic events. LÄS MER