A new incremental knowledge acquisition approach for the effective development of efficient problem solvers for combinatorial problems based on probabilistic search algorithms is ...
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
This paper focuses on gathering similarity ratings for use in the construction, optimization and evaluation of melodic similarity algorithms. The approach involves conducting list...
This paper describes our experiments in Geographical Information Retrieval (GIR) in the context of our participation in the GeoCLEF 2006 Monolingual English task. The TALPGeoIR sy...
We assess a family of ranking mechanisms for search engines based on linkage analysis using a carefully engineered subset of the World Wide Web, WT10g (Bailey, Craswell and Hawking...