The Five Tribes of Machine Learning, and What You Can Take from Each
Prof. Pedro Domingos,
University of Washington –
Abstract:
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.
Bio
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
learning.
Host
Maria Inês Camarate de Campos Lynce de Faria
Venue:
IST alameda, anfiteatro Abreu Faro
Upcoming Events
INESC Brussels HUB Winter Meeting 2023

This edition of the HUB Winter Meeting will be co-organised with Science Business and will take place on the 30 and 31 January, in Lisbon, at Instituto Superior Técnico, Department of Computer Science and Engineering.
Please see below a summary of the agenda, this will be updated on the INESC Brussels HUB website regularly (confirmed speakers and other relevant info). Places for onsite participation are limited so registration is mandatory. Online participants will be sent a ZOOM link for each specific session on the 27th January.
INESC Brussels HUB website: https://hub.inesc.pt/
Monday, 30 January
a) Digital Europe Programme & Chips Act: state of play and possibilities for INESC.
9h to 10h30 GMT
(Exclusive for INESC researchers and administrators).
b) Science Business: how can INESC tap into Science Business network, activities and communications tools.
(Exclusive for INESC researchers and administrators).
c) Networking Lunch (for all onsite participants).
d) Roundtable: From rhetoric to reality – Embedding international strategy in the DNA of research organisations.
(Closed-door, roundtable workshop, Chatham House rules, open to INESC researchers and administrators, external participants by invitation only).
e) Networking Dinner
(By invitation only – INESC researchers participating onsite in the event are elegible to join).
Tuesday, 31 January
f) Workshop: How they did it? Strategic positioning for structural success in Horizon Europe: a discussion of best practices.
(Exclusive for INESC researchers, administrators and international invited speakers).
g) The public consultation on European R&I Programmes: Towards FP10.
(Closed-door, roundtable workshop, Chatham House rules, open to INESC researchers and administrators, external participants by invitation only).
h) Networking Lunch (for all onsite participants).
i) Management Committee meeting (Directors and POB members)
The HUB Winter Meeting aims at bringing together researchers and administrators from the 5 INESC institutes, affiliated higher education institutions in Portugal and abroad, with key European and global players, to:
– Discuss key research and innovation issues at EU level.
– Inform institutional policy and strategy.
– Exchange best-practices about R&I management, career development and policy positioning.
– Promote, discuss and deliver vision, visibility, networking and impactful communication.
– Create, identify and deepen partnerships and collaboration opportunities for collaborative R&I.