Pedro Domingos

发表

Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning

William Agnew, Pedro Domingos, 2020 .

Naive Bayes models for probability estimation

Pedro M. Domingos, Daniel Lowd, Pedro Domingos, 2005, ICML.

Learning to map between structured representations of data

Pedro M. Domingos, AnHai Doan, Pedro Domingos, 2002 .

Programming by demonstration: a machine learning approach

Pedro M. Domingos, Daniel S. Weld, Pedro Domingos, 2001 .

Dynamic Probabilistic Relational Models

Pedro M. Domingos, Daniel S. Weld, Pedro Domingos, 2003, IJCAI.

From Instances to Rules: A Comparison of Biases

Pedro M. Domingos, Pedro Domingos, 1996 .

Efficient learning and inference in rich statistical representations

Daniel Lowd, Pedro Domingos, 2010 .

Mixed initiative interfaces for learning tasks

Pedro M. Domingos, Daniel S. Weld, Steven A. Wolfman, 2001 .

Bayesian Model Averaging in Rule Induction

Pedro Domingos, 1997 .

Research on Statistical Relational Learning at the University of Washington

Henry Kautz, Geoff Hulten, Henry A. Kautz, 2003 .

Learning Mappings between Data Schemas

AnHai Doan, Pedro Domingos, Alon Y. Levy, 2000 .

Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity pdf

Pedro M. Domingos, William Agnew, Pedro Domingos, 2020, CoRL.

Building the Semantic Web by Mass Collaboration

Matthew Richardson, Rakesh Agrawal, Pedro Domingos, 2003 .

A mystery in the machine

Pedro Domingos, 2016 .

Unifying Instance-Based and Rule-Based Induction

Pedro M. Domingos, Pedro Domingos, 1996 .

Transfer Learning in Integrated Cognitive Systems

Peter Stone, Alan Fern, Pat Langley, 2010 .

A Unified Approach to Abductive Inference

Henry Kautz, Thomas G. Dietterich, Joshua B. Tenenbaum, 2014 .

Faust: Flexible Acquistion and Understanding System for Text

Andrew McCallum, Christopher D. Manning, Daniel S. Weld, 2013 .

The RISE 2.0 System: A Case Study in Multistrategy Learning

Pedro M. Domingos, Pedro Domingos, 1995 .

Algorithms for Collective Knowledge Acquisition

Pedro Domingos, 2012 .

The Alchemy System for Statistical Relational AI: User Manual

Matthew Richardson, Pedro M. Domingos, Stanley Kok, 2007 .

Learning and inference in collective knowledge bases

Matthew Richardson, Pedro M. Domingos, Pedro Domingos, 2004 .

Learning, logic, and probability

Pedro Domingos, 2006 .

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003

Christos Faloutsos, Pedro M. Domingos, Lise Getoor, 2003, KDD.

Learning, logic, and probability: a unified view

Pedro Domingos, 2006 .

Markov Logic in Infinite Domains pdf

Pedro M. Domingos, Parag Singla, Pedro Domingos, 2007, UAI.

Fast iscovery of Sim

Pedro Domingos, 1996 .

Learning Models of Relational Stochastic Processes

Pedro M. Domingos, Daniel S. Weld, Pedro Domingos, 2005, ECML.

A General Framework for Mining Massive Data Streams

Geoff Hulten, Pedro M. Domingos, Pedro Domingos, 2003 .

Mining Massive Relational Databases

Geoff Hulten, Pedro Domingos, Yeuhi Abe, 2003 .

Toward Statistical Predicate Invention

Stanley Kok, Pedro Domingos, 2006 .

Learning How to Edit Text

Pedro M. Domingos, Daniel S. Weld, Pedro Domingos, 2000 .

Web Site Personalizers for Mobile Devices

Pedro M. Domingos, Daniel S. Weld, Pedro Domingos, 2001 .

Just add weights

Matthew Richardson, Pedro M. Domingos, Hoifung Poon, 2008 .

Mining massive data streams

Pedro M. Domingos, Pedro Domingos, Geoffrey Hulten, 2005 .

A machine learning approach to web personalization

Pedro M. Domingos, Daniel S. Weld, Pedro Domingos, 2002 .

Data Integration: A "Killer App" for Multistrategy Learning

AnHai Doan, Pedro Domingos, Alon Y. Levy, 2000 .

Unifying Logical and Statistical AI

Pedro M. Domingos, Hoifung Poon, Stanley Kok, 2006, 2016 31st Annual ACM/IEEE Symposium on Logic in Computer Science (LICS).

Markov logic for machine reading

Pedro M. Domingos, Hoifung Poon, Pedro Domingos, 2011 .

Every Model Learned by Gradient Descent Is Approximately a Kernel Machine pdf

Pedro M. Domingos, Pedro Domingos, 2020, ArXiv.

Machine Learning

Pedro M. Domingos, Pedro Domingos, 2017, Encyclopedia of GIS.

How to Get a Free Lunch: A Simple Cost Model for Machine Learning Applications

Pedro M. Domingos, Pedro Domingos, 1998 .

iMAP: Discovering Complex Mappings between Database Schemas.

AnHai Doan, Pedro Domingos, Yoonkyong Lee, 2004, SIGMOD 2004.

Markov Logic: A Language and Algorithms for Link Mining

Matthew Richardson, Pedro M. Domingos, Hoifung Poon, 2010, Link Mining.

Sum-Product Networks: The Next Generation of Deep Models

Pedro Domingos, 2017 .

Learning Selective Sum-Product Networks

Pedro M. Domingos, Robert Peharz, Pedro Domingos, 2014 .

Design and evaluation of the RISE 1.0 learning system

Pedro Domingos, 1994 .

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

Pedro M. Domingos, Pedro Domingos, 2015 .

Learning Repetitive Text-Editing Procedures with SMARTedit

Pedro M. Domingos, Daniel S. Weld, Steven A. Wolfman, 2001, Your Wish is My Command.

Foundations of Adversarial Machine Learning

Christopher Meek, Daniel Lowd, Pedro Domingos, 2007 .

Learning Statistical Models of Time-Varying Relational Data

Pedro Domingos, Sumit Sanghai, Daniel Weld, 2003 .

Tractable Markov Logic

Pedro Domingos, W. Austin Webb, 2012 .