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
OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities

We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
Keynote speakers:
David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
Nadia El-Mabrouk, Université de Montréal (class)
Mattéo Delabre, Université de Montréal (hands-on)
Ran Libeskind-Hadas, Claremont McKenna College (class and hands-on)
Russell Schwartz, Carnegie Mellon University (class and hands-on)
See the preliminary agenda at: https://olissipo.inesc-id.pt/tree-tango-school
Registration is mandatory. You can register at: https://forms.gle/VsASFHW5E7MJvaCc9
The registration fee is 250€ for students and OLISSIPO members and 350€ for postdocs or other researchers (meals indicated at the schedule of the school are included, accommodation and flights are not). All details will be made available upon registration.
We will have slots for flash talks (3-10 min depending on the number of submissions) to present yourself and the work you have been developing in your research.
The 13th Lisbon Machine Learning School | LxMLS 2023

The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2023 will be a 6-day event (14-20 July, 2023), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
Check online for information about past editions: LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020, LxMLS 2021, LxMLS 2022 (you can also watch the videos of the lectures for 2016, 2017, 2018, and 2020).
31st International Conference on Information Systems Development (ISD 2023)

The 31st International Conference on Information Systems Development (ISD 2023) conference provides a forum for research and developments in the field of information systems. The theme of ISD 2023 is “Information systems development, organizational aspects and societal trends”. New trends in developing information systems emphasize the continuous collaboration between developers and operators in order to optimize the software delivery time. The conference promotes research on methodological and technological issues and how IS developers and operators are transforming organizations and society through information systems.
The ISD 2023 conference held this year also provides an opportunity for researchers and practitioners to promote their research, practical experience, and to discuss issues related to Information Systems through papers, posters, and journal-first paper presentations.
ISD 2023 will be hosted by Instituto Superior Técnico, in Lisbon, Portugal, on August 30–September 1, 2023.