We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
Inspired by AND/OR search spaces for graphical models recently introduced, we propose to augment Multi-Valued Decision Diagrams (MDD) with AND nodes, in order to capture function ...
Robert Mateescu, Rina Dechter, Radu Marinescu 0002
Applications in computer networks often require high throughput access to large data structures for lookup and classification. While advanced algorithms exist to speed these search...
A neural network model that can simulate the learning of some simple proportional analogies is presented. These analogies include, for example, (a) red-square:red-circle yellow-sq...
In response to current technology scaling trends, architects are developing a new style of processor, known as spatial computers. A spatial computer is composed of hundreds or eve...
Martha Mercaldi, Steven Swanson, Andrew Petersen, ...