Articulate! Articulate! Articulate! is a board game from Drumond Park, for 4 to 20+ players aged 12 and up. Articulate! players describe words from different categories to their team as quickly as possible. The teams move round the board based on the number of words correctly guessed, and occasional spinner bonuses. Each round is 30 seconds long. Word topics include Object, Nature, Random, Person, Action and World. The object of the game is to get to the end before the other team. The game contains a circular board, 500 cards with 3,000 words, a spinner, timer, 4 playing pieces and instructions.
Random forest tissue marker data. Instead of decision trees, linear models have been proposed and evaluated as base estimators in random forests, in particular multinomial logistic regression and naive Bayes classifiers. In machine learning, kernel random forests establish the connection between random forests and kernel methods. By slightly modifying their definition, random forests can be rewritten as kernel methods, which are more interpretable and easier to analyze. Leo Breiman was the first person to notice the link between random forest and kernel methods. He pointed out that random forests which are grown using i.i.d. random vectors in the tree construction are equivalent