Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
In the world of pervasive computing where large management systems, as well as small devices, all become interconnected, the problem of the configuration and management of network...
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
: "Cognizing" (i.e., thinking, understanding, knowing, and having the capacity to do what cognizers can do) is a mental state. Systems without mental states, such as cogn...