Feature Extraction from an SMT Problem
One way of solving complex satisfiability problems is by using the method of SMT(Satisfiability Modulo Theories). For satisfiability problems that are harder to solve than trivial ones, we could very well save ourselves a lot of time if we choose the most suitable solver immediately. These problems...
Main Author: | Wärngård, Fredrik |
---|---|
Format: | Others |
Language: | English |
Published: |
Uppsala universitet, Institutionen för informationsteknologi
2021
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-452233 |
Similar Items
-
Evaluating the 2015 SMT competition
by: Rautila, Sebastian
Published: (2017) -
Semantic and Instance Segmentation of Room Features in Floor Plans using Mask R-CNN
by: Sandelin, Fredrik
Published: (2019) -
Effect of Feature Extraction when Classifying Emotions in Speech - An Applied Study
by: Holmström, Henrik, et al.
Published: (2018) -
Extraction and Quantification of Features in XCT Datasets of Fibre Reinforced Polymers using Machine Learning Techniques
by: Yosifov, Miroslav Ivanov
Published: (2020) -
Detecting engagement from prosodic features in spoken dialog
by: Bergqvist, Magdalena
Published: (2021)