The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
This two-day workshop examines the ways that on-line communities create and refine their shared resources, including both the formal and observable artifacts (documents, chats, th...
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Service-oriented architectures (SOA) aim at the alignment of business and IT by having a clear business process-centric focus. In order to reach that goal, real-world business pro...
Philipp Liegl, Rainer Schuster, Marco Zapletal, Ch...
A definition of types in an information system is given from ld abstractions through data constructs, schema and definitions to physical data values. Category theory suggests tha...