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courses:b4m36smu [2018/06/06 17:58] rozumden [Zkouška] |
courses:b4m36smu [2025/01/03 18:23] (aktuální) |
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- (**10 pnts**) Space-version agent. There are given two agent with different hypotheses spaces. First is all possible 3-conjunctions (non-negative) of n variables. Second is all n-conjunctions of positive and negative literals. | - (**10 pnts**) Space-version agent. There are given two agent with different hypotheses spaces. First is all possible 3-conjunctions (non-negative) of n variables. Second is all n-conjunctions of positive and negative literals. | ||
* (3 pnts) For each agent: does it learn online? | * (3 pnts) For each agent: does it learn online? | ||
- | * (3 pnts) For each agent: does it learn efficiently? \ | + | * (3 pnts) For each agent: does it learn efficiently? |
* (4 pnts) For the first agent: given the first negative observation (0,1,1,1,...,1), what will be the agent's decision on the next observation (0,1,0,1,...)? | * (4 pnts) For the first agent: given the first negative observation (0,1,1,1,...,1), what will be the agent's decision on the next observation (0,1,0,1,...)? | ||
- (**15 pnts**) Relative Least General Generalization (rlgg). Given background knowledge B = {half(4,2), half(2,1), int(2), int(1)}. What will be the rlgg of o1 = even(4) and o2 = even(2) relative to the background? | - (**15 pnts**) Relative Least General Generalization (rlgg). Given background knowledge B = {half(4,2), half(2,1), int(2), int(1)}. What will be the rlgg of o1 = even(4) and o2 = even(2) relative to the background? |