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Martin Sund
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Decks in this class (14)
Chapter 12 - Quantifying uncertainty
Name sources to uncertainty,
Consider the problem solving agen...,
Elaborate on the goodness of the ...
100
cards
Chapter 13 - Bayesian networks
What is a bayesian network,
What is the specification of the ...,
What can be said about the topolo...
67
cards
Chapter 14 - Probabilistic Reasoning over time
Agents in partially observable en...,
What is the negative side of usin...,
What do we mean by the context of...
42
cards
Chapter 15 - Simple decisions
What do we call an agent that com...,
What is the main advantage of a d...,
What is decision theory
97
cards
Probability
Are possible worlds mutually excl...,
What is the set of possible world...,
Name 2 properties of the sample s...
13
cards
Chapter 19 - Learning
Define learning,
What can we improve from an agent...
95
cards
Chapter 22 - Deep learning
What is deep in deep learning,
Why is it called neural networks,
What is the basic idea of deep le...
31
cards
Chapter 16 - Making complex decisions
What is this chapter really about,
Give the transition model in unce...,
What are markovian transitions
93
cards
Chapter 22 v2 - Deep learning
What is deep learning,
What are the origins of deep lear...,
What are the advantages of deep l...
48
cards
Chapter 23 - Reinforcement learning
What is reinforcement learning re...,
Weakness of supervised learning,
How does rl differ from the makin...
15
cards
Chapter 23 - Reinforcement
Deifne the difference between rei...,
What is the problem of usign supe...,
From the perspective of an agent ...
26
cards
Chapter 24 - Natural language processeing
Name the reasons for computers to...,
What is the difference between a ...,
What are some problems or difficu...
29
cards
Question bank
Define hmm,
Does hmm have restrictions on the...,
In hmm what does the transition m...
78
cards
CBR
What is cbr,
What is a case base,
What are the steps in cbr
8
cards
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metoder i ai
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- 74 flashcards
- 36 learners
Decks:
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