Sökning: "nearest neighbor algorithms"

Visar resultat 21 - 25 av 53 uppsatser innehållade orden nearest neighbor algorithms.

1. 21. Comparing Julia and Python : An investigation of the performance on image processing with deep neural networks and classification

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Författare :Viktor Axillus; [2020]
   Nyckelord :julia; python; performance; comparison; machine learning; image processing; GPU; GPU-acceleration; neural networks; autoencoder; classification; knn; k-nearest neighbor;

   Sammanfattning : Python is the most popular language when it comes to prototyping and developing machine learning algorithms. Python is an interpreted language that causes it to have a significant performance loss compared to compiled languages. LÄS MER

3. 22. Contact-free Cognitive Load Classification based on Psycho-Physiological Parameters

   Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

   Författare :Rikard Gestlöf; Johannes Sörman; [2019]
   Nyckelord :AI; Cognitve Load; Machine Learning;

   Sammanfattning : Cognitive load (CL) is a concept that describes the relationship between the cognitive demands from a task and the environment the task is taking place in, which influences the user’s cognitive resources. High cognitive load leads to higher chance of a mistake while a user is performing a task. LÄS MER

4. 23. Evaluation of machine learning methods for anomaly detection in combined heat and power plant

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Fredrik Carls; [2019]
   Nyckelord :Machine Learning; Anomaly detection; Fault detection; Health condition monitoring; Sensor surveillance; PHM; CHP Plant Boilers; k-Nearest Neighbor; One-Class Support Vector Machine; Auto-encoder; Maskininlärning; Anomalidetektion; Feldetektering; Tillståndsbevakning; Sensorövervakning; PHM; Kraftvärmeverkpannor; k-Nearest Neighbor; One-Class Support Vector Ma- chine; Auto-encoder;

   Sammanfattning : In the hope to increase the detection rate of faults in combined heat and power plant boilers thus lowering unplanned maintenance three machine learning models are constructed and evaluated. The algorithms; k-Nearest Neighbor, One-Class Support Vector Machine, and Auto-encoder have a proven track record in research for anomaly detection, but are relatively unexplored for industrial applications such as this one due to the difficulty in collecting non-artificial labeled data in the field. LÄS MER

5. 24. Artificial intelligence and Machine learning : a diabetic readmission study

   Kandidat-uppsats, Högskolan Kristianstad/Avdelningen för datavetenskap

   Författare :Robin Forsman; Jimmy Jönsson; [2019]
   Nyckelord :Artificial intelligence; Machine learning; Logistic regression; K-nearest neighbor; Boosted decision tree; Artificial neural network;

   Sammanfattning : The maturing of Artificial intelligence provides great opportunities for healthcare, but also comes with new challenges. For Artificial intelligence to be adequate a comprehensive analysis of the data is necessary along with testing the data in multiple algorithms to determine which algorithm is appropriate to use. LÄS MER

7. 25. EVALUATION OF MACHINE LEARNING ALGORITHMS FOR SMS SPAM FILTERING

   Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :David Bäckman; [2019]
   Nyckelord :;

   Sammanfattning : The purpose of this thesis is to evaluate different machine learning algorithms and methods for text representation in order to determine what is best suited to use to distinguish between spam SMS and legitimate SMS. A data set that contains 5573 real SMS has been used to train the algorithms K-Nearest Neighbor, Support Vector Machine, Naive Bayes and Logistic Regression. LÄS MER