Sökning: "Rule-based Artificial Intelligence"
Visar resultat 1 - 5 av 10 uppsatser innehållade orden Rule-based Artificial Intelligence.
1. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. LÄS MER
2. A Rule-based approach for detection of spatial object relations in images
Master-uppsats, Högskolan i Halmstad/Centrum för forskning om tillämpade intelligenta system (CAISR)Sammanfattning : Deep learning and Computer vision are becoming a part of everyday objects and machines. Involvement of artificial intelligence in human’s daily life open doors to new opportunities and research. LÄS MER
3. Evolutionary Belief Rule based Explainable AI to Predict Air Pollution
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : This thesis presents a novel approach to make Artificial Intelligence (AI) more explainable by using a Belief Rule Based Expert System (BRBES). A BRBES is a type of expert system that can handle both qualitative and quantitative information under uncertainty and incompleteness by using if-then rules with belief degrees. LÄS MER
4. Test Case Selection from Test Specifications using Natural Language Processing
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : The Cloud Radio Access Network (RAN) is a groundbreaking technology employed in the telecommunications industry, offering flexible, scalable, and cost-effective solutions for seamless wireless network services. However, testing Cloud RAN applications presents significant challenges due to their complexity, potentially leading to delays and increased costs. LÄS MER
5. Interpretable Outlier Detection in Financial Data : Implementation of Isolation Forest and Model-Specific Feature Importance
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : Market manipulation has increased in line with the number of active players in the financialmarkets. The most common methods for monitoring financial markets are rule-based systems,which are limited to previous knowledge of market manipulation. LÄS MER