The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
Attempts at classifying computational problems as polynomial time solvable, NP-complete, or belonging to a higher level in the polynomial hierarchy, face the difficulty of undecid...
Previous work in multiagent coordination has addressed the challenge of planning in domains where agents must optimize a global goal, while satisfying local resource constraints. ...
Emma Bowring, Zhengyu Yin, Rob Zinkov, Milind Tamb...
A context-sensitive analysis is an analysis in which program elements are assigned sets of properties that depend upon the context in which they occur. For analyses on imperative ...
Embedded applications like video decoding, video streaming and those in the network domain, typically have a Quality of Service (QoS) requirement which needs to be met. Apart from...
Harsh Dhand, Basant Kumar Dwivedi, M. Balakrishnan