Sökning: "Rule-based classification"

Visar resultat 1 - 5 av 17 avhandlingar innehållade orden Rule-based classification.

1. 1. Rule-based Models of Transcriptional Regulation and Complex Diseases : Applications and Development

   Författare :Susanne Bornelöv; Jan Komorowski; Claes Wadelius; Joanna Polanska; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Histone modification; Transcription factor; Transcriptional regulation; Next-generation sequencing; Feature selection; Machine learning; Rule-based classification; Asthma; Allergy; Bioinformatik; Bioinformatics;

   Sammanfattning : As we gain increased understanding of genetic disorders and gene regulation more focus has turned towards complex interactions. Combinations of genes or gene and environmental factors have been suggested to explain the missing heritability behind complex diseases. LÄS MER

3. 2. Similarity-based processes in human multiple-cue judgment : evidence from brain imaging and cognitive modelling

   Författare :Sara Stillesjö; Linnea Karlsson Wirebring; Lars Nyberg; Håkan Nilsson; Alan Sanfey; Umeå universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; multiple-cue judgment; similarity-based; rule-based; exemplar-based model; fMRI; cognitive modelling;

   Sammanfattning : Background: We often make judgments that require the consideration of several sources of information. For example, a teacher that grades a student´s exam question often integrates multiple sources of information (cues: details provided in the answer) into a single criterion dimension (the grade). LÄS MER

4. 3. A Novel Explainable Belief Rule-Based Prediction Framework under Uncertainty

   Författare :Sami Kabir; Karl Andersson; Mohammad Shahadat Hossain; Kary Främling; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Pervasive Mobile Computing; Distribuerade datorsystem;

   Sammanfattning : Traditional Machine Learning (ML) and Deep Learning (DL) models provide very accurate predictions because of their intricate mathematical operations. However, these models do not explain the reasons in support of the predictive outputs. Therefore, there is no trust between humans and AI when it produces such obtuse results. LÄS MER

5. 4. A case-based multi-modal clinical system for stress management

   Författare :Mobyen Uddin Ahmed; Peter Funk; Ning Xiong; Bo von Schéele; Nosrat Shahsavar; Mälardalens högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; stress management; diagnosis and treatment; multi-purpose and multi-modal; Case-based reasoning; textual information retrieval; rule-based reasoning; and fuzzy logic; Computer science; Datavetenskap; Computer Science; datavetenskap;

   Sammanfattning : A difficult issue in stress management is to use biomedical sensor signal in the diagnosis and treatment of stress. Clinicians often make their diagnosis and decision based on manual inspection of physiological signals such as, ECG, heart rate, finger temperature etc. LÄS MER

7. 5. A Multi-Dimensional Approach to Human Mobility and Transportation Mode Detection Using GPS Data

   Författare :Paria Sadeghian; Johan Håkansson; Xiaoyun Zhao; Mengjie Han; Kevin Heaslip; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Transport mode detection; Machine learning; Statistical learning; Rule-based method; Data labelling;

   Sammanfattning : GPS tracking data is an essential resource for analyzing human travel patterns and evaluating the effects on transportation systems. The primary challenge, however, is to accurately identify the modes of transportation within unlabeled GPS data. These approaches range from simple rule-based systems to advanced machine-learning techniques. LÄS MER