In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
Effective problem-solving about complex engineered devices requires device models that are both adequate for the problem and computationally efficient . Producing such models requ...
P. Pandurang Nayak, Leo Joskowicz, Sanjaya Addanki
This paper presents an algorithm and a data structure for scalable dynamic synchronization in fine-grained parallelism. The algorithm supports the full generality of phasers with d...
Stefan Marr, Stijn Verhaegen, Bruno De Fraine, The...
Why do people create extra representations to help them make sense of situations, diagrams, illustrations, instructions and problems? The obvious explanation-external representatio...
Implementations that load XML documents and give access to them via, e.g., the DOM, suffer from huge memory demands: the space needed to load an XML document is usually many times...