Sökning: "rating prediction"

Visar resultat 21 - 25 av 41 uppsatser innehållade orden rating prediction.

1. 21. Predicting movie success using machine learning techniques

   Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Carl Jernbäcker; Shahrivar Pojan; [2017]
   Nyckelord :;

   Sammanfattning : The area of creating predictive models using machine learning has increased in size in recent years. The market for movies is still big with hundreds of new movies created every year. The purpose of this report is to investigate whether it is possible to classify movie rating and box office revenue with metadata available before release. LÄS MER

3. 22. Altman versus Merton - Are corporate credit rating changes new information?

   Magister-uppsats, Lunds universitet/Företagsekonomiska institutionen

   Författare :Anton Andersson; Joakim Brunnhage; [2016]
   Nyckelord :Credit ratings; Credit rating changes; Merton model; Altman Z-score; Business and Economics;

   Sammanfattning : With the relative performance between accounting-based and option-based approaches for default prediction being a key subject in previous research, combined with criticism against the rating agencies’ timeliness in assigning credit ratings, surprisingly few attempts have been made to investigate the models’ usefulness in predicting corporate credit ratings. This thesis is the first to investigate the Merton and Altman’s Z-score models’ relative performance in predicting future credit rating changes. LÄS MER

4. 23. Building predictive models for dynamic line rating using data science techniques

   Master-uppsats, KTH/Skolan för elektro- och systemteknik (EES)

   Författare :Nicolae Doban; [2016]
   Nyckelord :Dynamic Line Rating; Data Science; Exploratory Data Analysis; Predictive Modeling; Energy Efficiency; Renewable Energy Sources; Power system planning and operations; Reproducible;

   Sammanfattning : The traditional power systems are statically rated and sometimes renewable energy sources (RES) are curtailed in order not to exceed this static rating. The RES are curtailed because of their intermittent character and therefore, it is difficult to predict their output at specific time periods throughout the day. LÄS MER

5. 24. Evaluation of label incorporated recommender systems : Based on restricted boltzmann machines

   Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Nikolas Huhnstock; [2016]
   Nyckelord :;

   Sammanfattning : In this thesis the problem of providing good recommendations to assist users to make the best choice out of numerous options is studied. To overcome the common problem of sparsity of the data, from which recommendations are inferred, additional label information assigned to items is considered. LÄS MER

7. 25. Using Machine Learning Methods for Evaluating the Quality of Technical Documents

   Magister-uppsats, Linnéuniversitetet/Institutionen för datavetenskap (DV)

   Författare :Michael Luckert; Moritz Schaefer-Kehnert; [2016]
   Nyckelord :machine translation evaluation; machine learning;

   Sammanfattning : In the context of an increasingly networked world, the availability of high quality translations is critical for success in the context of the growing international competition. Large international companies as well as medium sized companies are required to provide well translated, high quality technical documentation for their customers not only to be successful in the market but also to meet legal regulations and to avoid lawsuits. LÄS MER