The 2005 AAAI Classic Paper Awards

Twenty years later that link is firmly established, and the two research communities have largely merged into one. Problem," by Steve Hanks and Drew Mc-or does not hold after a sequence of learning was the "inductive bias" of a The idea is this: Normally, an object learn the target concept--the more in 1986, helped initiate a very constraining the inductive bias, the is unaffected by an action. If a window fruitful integration of a branch of machine less training data needed. Starting in the of PAC learning was being developed, an action. There are clear exceptions, 1950s, with work like Samuels's program which allowed deriving quantitative however, such as the act of closing the that learned strategies for playing bounds on the probability of window. A variety of formal systems checkers, AI researchers had designed successful learning as a function of the have been proposed that would allow and experimented with a number of training examples and the us to infer in the absence of conflicting variety of learning algorithms and complexity of the learner's hypothesis information that the window remains had also developed a number of theoretical space (as measured by its Vapnik-open (or that a polar bear is results, such as convergence Chervonenkis dimension). What white or that a violin has four strings, proofs for perceptrons and "learning Haussler's paper did was help introduce and so on).