astronomy

Holger H. Hoos

Holger H. Hoos is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Holger H. Hoos rather than just read about it. In short: Holger H. Hoos is a German-Canadian computer scientist and a Alexander von Humboldt-professor of artificial intelligence at RWTH Aachen University.

Key takeaways

Holger H. Hoos belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Holger H. Hoos to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Holger H. Hoos from memory before moving on to harder problems.

Reference excerpt

Holger H. Hoos is a German-Canadian computer scientist and a Alexander von Humboldt-professor of artificial intelligence at RWTH Aachen University. He also holds a part-time appointment as a professor of machine learning at Leiden University, and he is an adjunct professor at the Computer Science Department of the University of British Columbia, where he held a full-time professorial appointment from 2000 until 2016. His research interests are focused on artificial intelligence, at the intersection of machine learning, automated reasoning and optimization, with applications in empirical algorithmics, bioinformatics and operations research. In particular, he works on automated algorithm design and on stochastic local search algorithms. Since 2015, he is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and since 2020 a Fellow of the European Association for Artificial Intelligence (EurAI) as well as a Fellow of the Association for Computing Machinery (ACM). He wrote the book Stochastic Local Search: Foundations and Applications (with Thomas Stützle), and his research is published widely in internationally leading journals and conference proceedings. In 2023 he received the ACM SIGKDD test-of-time award for his work on Auto-WEKA, together with Chris Thornton, Frank Hutter and Kevin Leyton-Brown. He also works in computer music, where he created the SALIERI music programming language and computer music system (with Thomas Helbich, Jürgen Kilian and Kai Renz) as well as GUIDO music notation (with Keith Hamel). Hoos studied computer science at Department of Computer Science of the Technische Universität Darmstadt and received his doctorate there in 1998.

References

External links Holger H. Hoos homepage Holger H. Hoos's research group at the Leiden University Holger H. Hoos homepage at UBC

Worked examples

Example 1 — a first encounter with Holger H. Hoos

Start with the simplest possible case. Write down what Holger H. Hoos claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Holger H. Hoos before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Holger H. Hoos ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Holger H. Hoos

In research: Holger H. Hoos appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Holger H. Hoos in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Holger H. Hoos is common in secondary-school and first-year university syllabi. It links to neighbouring topics Academic staff of Technische Universität Darmstadt, Academic staff of the University of British Columbia, Artificial intelligence researchers, so understanding it makes those chapters shorter.
In everyday life: Look for Holger H. Hoos outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Holger H. Hoos in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Holger H. Hoos means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Holger H. Hoos out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Holger H. Hoos in simple terms?

Holger H. Hoos is a German-Canadian computer scientist and a Alexander von Humboldt-professor of artificial intelligence at RWTH Aachen University.

Why does Holger H. Hoos matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Holger H. Hoos?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Holger H. Hoos.