12 citations · 56 across the 16 of their papers we have counts for
3 papers · 1 filter
Multitask Kernel-based Learning with Logic Constraints
Michelangelo Diligenti, Marco Gori, Marco Maggini +1
This paper presents a general framework to integrate prior knowledge in the form of logic constraints among a set of task functions into kernel machines. The logic propositions pro…
SortNet: Learning To Rank By a Neural-Based Sorting Algorithm
Leonardo Rigutini, Tiziano Papini, Marco Maggini +1
The problem of relevance ranking consists of sorting a set of objects with respect to a given criterion. Since users may prefer different relevance criteria, the ranking algorithms…
Multitask Kernel-based Learning with First-Order Logic Constraints
Michelangelo Diligenti, Marco Gori, Marco Maggini +1
In this paper we propose a general framework to integrate supervised and unsupervised examples with background knowledge expressed by a collection of first-order logic clauses into…