Abstract. Performing effective preference-based data retrieval requires detailed and preferentially meaningful structurized information about the current user as well as the items ...
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Background: CGH-Profiler is a program that supports the analysis of genomic aberrations measured by Comparative Genomic Hybridisation (CGH). Comparative genomic hybridisation (CGH...
Falk Schubert, Bernhard Tausch, Stefan Joos, Rolan...
In this paper we propose a new data structure, called shared automata, for representing deterministic finite automata (DFA). Shared automata admit a strong canonical form for DFA ...
Development has begun on a semantic evaluation (SemEval) methodology and infrastructure for the ARPA Spoken Language Program. SemEval is an attempt to define a task-independent te...