We explore how recent data-mining-based tools developed in domains such as biomedicine or text-mining for extracting interesting knowledge from sequence data could be applied to pe...
Gilbert Ritschard, Alexis Gabadinho, Nicolas S. M&...
This paper investigates the suitability of contemporary DSL tools in the context of enterprise software development. The main focus is on integration issues between the DSL tool, ...
Heuristic functions make MDP solvers practical by reducing their time and memory requirements. Some of the most effective heuristics (e.g., the FF heuristic function) first determ...
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...