623.131 (18S) Selected Topics in Machine Learning
Overview
- Lecturer
- Course title german Selected Topics in Machine Learning
- Type Lecture - Course (continuous assessment course )
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 11 (30 max.)
- Organisational unit
- Language of instruction English
- possible language(s) of the assessment English
- Course begins on 04.06.2018
- eLearning Go to Moodle course
Time and place
Course Information
Course content
Reinforcement learning
How to find good sequences of decisions in an unknown domain through exploration and learning?
Stunning success of AlphaZero using reinforcement learning
Delayed rewards, long-term benefits of decisions, exploration and exploitation
Improving decision policy through exploration
Generalising what has been learned
Machine learning from noisy data
Problems with noise in learning data
Key ideas to cope with noise: paradoxically, simpler models are often better
Algorithms for learning decision trees from noisy data
How to estimate probabilities in machine learning correctly?
Argument-Based Machine Learning (ABML)
Human expert may help learning by annotating training examples with arguments
An algorithm for learning rules from argumented examples
ABML knowledge-elicitation loop
Learning qualitative models with applications in robotics
How to model qualitatively, avoiding numbers
Reasoning and simulation with qualitative models
Learning qualitative models from observations with QUIN and Pade
Learning and planning of robot tasks: rescue robot, humanoid robot, quadcopter
Learning from examples and background knowledge
How to use prior knowledge in Machine Learning?
Learning in logic – Inductive Logic Programming (ILP)
Learning programs from examples with ILP
Discovering problem structure with function decomposition
The idea of structuring the learning problem with function decomposition
Discovering structure with HINT algorithm
Improving accuracy and interpretability by structure learning in practice
Examination information
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Teacher training programme Computer Sciences and Computer Sciences Management (Secondary School Teacher Accreditation)
(SKZ: 884, Version: 04W.7)
-
Stage two
-
Subject: Angewandte Informatik (LI 2.3)
(Compulsory subject)
-
Ausgewählte Kapitel aus Artificial Intelligence (
2.0h VK / 4.0 ECTS)
- 623.131 Selected Topics in Machine Learning (2.0h VC / 4.0 ECTS)
-
Ausgewählte Kapitel aus Artificial Intelligence (
2.0h VK / 4.0 ECTS)
-
Subject: Angewandte Informatik (LI 2.3)
(Compulsory subject)
-
Stage two
- Master's degree programme Applied Informatics
(SKZ: 911, Version: 13W.1)
-
Subject: Knowledge and Data Engineering
(Compulsory elective)
-
Selected Topics in Artificial Intelligence (
2.0h VK / 4.0 ECTS)
- 623.131 Selected Topics in Machine Learning (2.0h VC / 4.0 ECTS)
-
Selected Topics in Artificial Intelligence (
2.0h VK / 4.0 ECTS)
-
Subject: Knowledge and Data Engineering
(Compulsory elective)
- Masterstudium Informatik
(SKZ: 921, Version: 09W.1)
-
Subject: Data and Knowledge Engineering
(Compulsory subject)
-
Artificial Intelligence (
2.0h VK / 4.0 ECTS)
- 623.131 Selected Topics in Machine Learning (2.0h VC / 4.0 ECTS)
-
Artificial Intelligence (
2.0h VK / 4.0 ECTS)
-
Subject: Data and Knowledge Engineering
(Compulsory subject)
- Doctoral programme Doctoral programme in Interactive and Cognitive Environments (ICE)
(SKZ: 094, Version: 10W.1)
-
Subject: Fach 1 (§ 3 Abs. 3)
(Compulsory subject)
-
Lehrveranstaltungen gem. § 3 Abs. 3 (
0.0h XX / 20.0 ECTS)
- 623.131 Selected Topics in Machine Learning (2.0h VC / 5.0 ECTS)
-
Lehrveranstaltungen gem. § 3 Abs. 3 (
0.0h XX / 20.0 ECTS)
-
Subject: Fach 1 (§ 3 Abs. 3)
(Compulsory subject)
Equivalent courses for counting the examination attempts
-
Sommersemester 2024
- 626.017 VC Selected Topics in Machine Learning (2.0h / 4.0ECTS)
-
Sommersemester 2023
- 626.017 VC Selected Topics in Machine Learning (2.0h / 4.0ECTS)
-
Sommersemester 2022
- 626.017 VC Selected Topics in Machine Learning (2.0h / 4.0ECTS)
-
Sommersemester 2021
- 626.017 VC Selected Topics in Machine Learning (2.0h / 4.0ECTS)
-
Sommersemester 2020
- 626.017 VC Selected Topics in Machine Learning (2.0h / 4.0ECTS)
-
Sommersemester 2019
- 623.131 VC Selected Topics in Artificial Intelligence (2.0h / 4.0ECTS)
-
Sommersemester 2017
- 623.131 VC Selected Topics in Artificial Intelligence (2.0h / 4.0ECTS)
-
Sommersemester 2016
- 623.131 VC Selected Topics in Artificial Intelligence (2.0h / 4.0ECTS)
-
Sommersemester 2015
- 623.131 VK Selected Topics in Artificial Intelligence (2.0h / 4.0ECTS)
-
Sommersemester 2014
- 623.131 VK Selected Topics in Artificial Intelligence (2.0h / 4.0ECTS)
-
Sommersemester 2013
- 623.131 VK Selected Topics in Artificial Intelligence (2.0h / 3.0ECTS)
-
Sommersemester 2012
- 623.131 VK Selected Topics in Artificial Intelligence (2.0h / 3.0ECTS)
-
Sommersemester 2011
- 623.131 VK Selected Topics in Artificial Intelligence (2.0h / 3.0ECTS)