The relationship between constraint-based mining and constraint programming is explored by showing how the typical constraints used in pattern mining can be formulated for use in ...
This paper presents a new and retargetable method to identify patterns of instructions with direct support in coarsegrained processing elements (PEs). The method uses a three-addr...
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Keyword-based queries are an important means to retrieve information from XML collections with unknown or complex schemas. Relevance Feedback integrates relevance information provi...
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...