Troubleshooting problems in real manufacturing environments impose constraints on admissible solutions that make the computational solutions offered by "troubleshooting from ...
D. Volovik, Imran A. Zualkernan, Paul E. Johnson, ...
tor. In order to capture different data models at a time, an abstract algebraic approach based on nested attributes is taken. The presence of the list constructor calls for a new i...
Sven Hartmann, Sebastian Link, Klaus-Dieter Schewe
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...