59 citations · 95 across the 6 of their papers we have counts for
6 papers
A logical framework for data-driven reasoning
Paolo Baldi, Esther Anna Corsi, Hykel Hosni
We introduce and investigate a family of consequence relations with the goal of capturing certain important patterns of data-driven inference. The inspiring idea for our framework…
A Logic-based Tractable Approximation of Probability
Paolo Baldi, Hykel Hosni
We provide a logical framework in which a resource-bounded agent can be seen to perform approximations of probabilistic reasoning. Our main results read as follows. First we identi…
Data science and the art of modelling
Hykel Hosni, Angelo Vulpiani
Datacentric enthusiasm is growing strong across a variety of domains. Whilst data science asks unquestionably exciting scientific questions, we argue that its contributions should…
Boolean algebras of conditionals, probability and logic
Tommaso Flaminio, Lluis Godo, Hykel Hosni
This paper presents an investigation on the structure of conditional events and on the probability measures which arise naturally in this context. In particular we introduce a cons…
Random thoughts about Complexity, Data and Models
Hykel Hosni, Angelo Vulpiani
Data Science and Machine learning have been growing strong for the past decade. We argue that to make the most of this exciting field we should resist the temptation of assuming th…
Forecasting in the light of Big Data
Hykel Hosni, Angelo Vulpiani
Predicting the future state of a system has always been a natural motivation for science and practical applications. Such a topic, beyond its obvious technical and societal relevan…