Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Identification in the limit, originally due to Gold [10], is a widely used computation model for inductive inference and human language acquisition. We consider a nonconstructive ...
This paper presents an efficient algorithm that identifies a rich subclass of multiple context-free languages in the limit from positive data and membership queries by observing wh...
Abstract-The aim of this work is to compare some deterministic optimization algorithms and evolutionary algorithms on parameter estimation in a biological circuit design problem: t...
This paper describes the participation of UAIC team at the LogCLEF 2011 initiative, language identification task. Our approach is an aggregation of known methods for recognizing la...