author: kristian kersting

... 2015-06-18) 5. Eben Upton and Gareth Halfacree. Raspberry Pi user guide ... product/ contrast.php?cp%5B%5D=126&cp%5B%5D=124&cp%5B%5D=27&cp%5B%5D=193 ... Cisco systems. http://cisco.com (last visited 2014-11-27) 23. Extreme networks. http://www ...

... GSM scanners. From the amount of mobile devices, the actual amount of people can be accurately estimated by assuming a stable average fraction of people carrying such a device [18]. A stationary sensor S scans periodically for devices ...

... hypothesis if it satisfies all clauses in the hypothesis. When learning from interpretations, a hypothesis h covers an interpretation if and only if the interpretation is a model for the hypothesis. Example 7.3 Consider the following ...

This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and covers formalisms and systems, implementations and applications, as well as theory.

... Wiki data F1 Precision Recall NAIVE 64.83 57.79 73.82 MMS 54.02 47.70 62.30 CLLP 69.69 61.52 80.37 The results are shown in Tabel2. We found that MMS was even worse than NAIVE. The main reason for this phenomenon still draws from the ...

... ( auto ) : Market ( s ) , Market ( s ) ( s ,, S , ES ) Market ( house ) Market ( stock ) Market ( auto ) Market ... RNs is connected , when the connectivity graph is a connected component . Each vertex of the connectivity graph is a ...

Talks about Logic Programming, Uncertainty Reasoning and Machine Learning. This book includes definitions that circumscribe the area formed by extending Inductive Logic Programming to cases annotated with probability values.