Automatically constructing novel representations of tasks from analysis of state spaces is a longstanding fundamental challenge in AI. I review recent progress on this problem for...
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Decision criteria based on an imprecise probability representation of uncertainty have been criticized, from the normative point of view, on the grounds that they make the decisio...
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Ho...
There are information needs involving costly decisions that cannot be efficiently satisfied through conventional web search engines. Alternately, community centric search can prov...
Yu-Ru Lin, Hari Sundaram, Yun Chi, Jun'ichi Tatemu...