Nello Cristianini

Le macchine possono pensare? Questa domanda inquietante, posta da Alan Turing nel 1950, ha forse trovato una risposta: oggi si può conversare con un computer senza poterlo distinguere da un essere umano. I nuovi agenti intelligenti come ChatGPT si sono rivelati capaci di svolgere compiti che vanno molto oltre le intenzioni iniziali dei loro creatori, e ancora non sappiamo perché: se sono stati addestrati per alcune abilità, altre sono emerse spontaneamente mentre leggevano migliaia di libri e milioni di pagine web.
È questo il segreto della conoscenza, ed è adesso nelle mani delle nostre creature? Cos'altro può emergere, mentre continuiamo su questa strada?
Dopo il successo de «La Scorciatoia», Cristianini ci regala un altro magnifico libro, in cui racconta le idee alla base di questa nuova tecnologia e della nuova epoca che ci attende.

L'algoritmo che ci ha rubato il segreto della conoscenza

Machina sapiens

John Shawe-Taylor

Department of Computer Science Royal Holloway John Shawe-Taylor

A comprehensive introduction to this recent method for machine learning and data mining.

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Peter A. Flach

Tijl De Bie

This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.

European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I

Kernel Methods for Pattern Analysis

Nello Cristianini

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