The Five Tribes of Machine Learning, and What You Can Take from Each
Prof. Pedro Domingos,
University of Washington –
There are five main schools of thought in machine learning,
and each has its own master algorithm – a general-purpose learner that
can in principle be applied to any domain. The symbolists have inverse
deduction, the connectionists have backpropagation, the evolutionaries
have genetic programming, the Bayesians have probabilistic inference,
and the analogizers have support vector machines. What we really need,
however, is a single algorithm combining the key features of all of
them. In this talk I will describe my work toward this goal, including
in particular Markov logic networks, and speculate on the new
applications that such a universal learner will enable, and how
society will change as a result.
Pedro Domingos is a professor of computer science at the
University of Washington and the author of “The Master Algorithm”. He
is a winner of the SIGKDD Innovation Award, the highest honor in data
science. He is a Fellow of the Association for the Advancement of
Artificial Intelligence, and has received a Fulbright Scholarship, a
Sloan Fellowship, the National Science Foundation’s CAREER Award, and
numerous best paper awards. He received his Ph.D. from the University
of California at Irvine and is the author or co-author of over 200
technical publications. He has held visiting positions at Stanford,
Carnegie Mellon, and MIT. He co-founded the International Machine
Learning Society in 2001. His research spans a wide variety of topics
in machine learning, artificial intelligence, and data science,
including scaling learning algorithms to big data, maximizing word of
mouth in social networks, unifying logic and probability, and deep
Maria Inês Camarate de Campos Lynce de Faria
IST alameda, anfiteatro Abreu Faro
40 Years of Science and Knowledge: The ability to create new technology-based companies
The second session to celebrate INESC 40th years will take place on October 8, at 5 p.m., at Calouste Gulbenkian Foundation (Auditorium II).
This session will be transmitted live.
17:00 Opening session
Leonel Sousa (INESC Lisboa/IST)
17:10 Keynote speech
Carlos Moedas (Fundação Calouste Gulbenkian)
17:30 Panel I: The first wave: networks and services
José Alves Marques (LINK/IST)
João Nuno Bento (Novabase)
Pedro Ramalho Carlos (Shilling Founders Fund)
Luís Alveirinho (Altice)
Moderator: Isabel Trancoso (INESC-ID/IST)
18:15 Panel II: The second wave: software and artificial intelligence
Vasco Pedro (Unbabel)
Ana Teresa Freitas (HeartGenetics)
Jaime Jorge (Codacy)
João Paulo Neto (Voice Interaction)
Moderator: Joaquim Sérvulo Rodrigues (Armilar)
19:00 Four decades creating value
Arlindo Oliveira (INESC/IST)
José Tribolet (INESC)
António Costa, Prime Minister (to confirm)
[Registration will be open soon]
IEEE International Conference on Software Testing, Verification and Validation (ICST) 2020
IEEE International Conference on Software Testing, Verification and Validation (ICST) 2020 will take place between the 24th and 28th of October at Alfândega Porto Congress Centre, in Porto.
ICST 2020 aims to supply a common forum for researchers, scientists, engineers and practitioners all over the world to present their latest research findings, ideas, developments and applications in the area of Software Testing, Verification and Validation.
Energy Virtual Experience – EVEx 2020
The event “Energy Virtual Experience” ( EVEx 2020) will take place online, from 23rd to 27th November 2020.
“Energy Virtual Experience” will provide 4 different interactive experiences: EVEx Talks, EVEx MasterClass, EVEx Academy, and EVEx Expo/Busines. These four experiences will be centered on “Ibero-American post-pandemic energy transition”.
Looking to stimulate interdisciplinary studies and innovative solutions in energy area, call for papers and projects will be launched soon.
INESC-ID researcher and IST Professor, Rui Castro, is member of the scientific committee of EVEx 2020.
|More information will be coming soon|