We elaborate on an alternative representation of conditional probability to the usual tree diagram. We term the representation “turtleback diagram” for its resemblance to the pattern on turtle shells.

For cutting-edge AI researchers looking for clean semantics models to represent the context-specific causal dependencies essential for causal induction, this DeepMind’s algorithm encourages you to ...

Abstract: In this chapter, the authors discuss sample spaces, basic probability theory and random variables. Conditional probability leads to tree diagrams and the Bayes formula. Bernoulli trials pave ...

Venn diagrams can be useful for organising information about frequencies and probabilities, which can then be used to solve conditional probability problems. 90 pupils were asked whether they owned a ...

90 pupils were asked whether they owned a laptop or a tablet device. 52 said they owned a laptop. 45 said they owned a tablet. 23 said they owned both. Find the probability that a pupil chosen at ...

Author: Chris Boucher (March 2011). This app displays an intricate Venn diagram, containing various combinations of set intersections, unions and complements. Users can shade the area they choose by ...

We consider the problem of estimating the conditional probability of a label in time O(log n), where n is the number of possible labels. We analyze a natural reduction of this problem to a set of ...

This is a preview. Log in through your library . Abstract An influence diagram is a graphical representation of a decision problem that is at once a formal description of a decision problem that can ...