Moisés Goldszmidt

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Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (2000) pdf

Craig Boutilier, Moisés Goldszmidt, 2013, ArXiv.

HEDGES, BACKGROUND KNOWLEDGE, AND EVIDENCE: A REPLY TO KYBURG'S “BELIEVING ON THE BASIS OF THE EVIDENCE”

Moisés Goldszmidt, 1994, Comput. Intell..

Early security classification of skype users via machine learning

Martín Abadi, Fang Yu, Yinglian Xie, 2013, AISec.

More Intervention Now!

Moisés Goldszmidt, Rebecca Isaacs, M. Goldszmidt, 2011, HotOS.

On the Consistency of Defeasible Databases

Moisés Goldszmidt, Judea Pearl, J. Pearl, 1991, Artif. Intell..

Fingerprinting the datacenter: automated classification of performance crises

Armando Fox, Moisés Goldszmidt, Peter Bodík, 2010, EuroSys '10.

On the quantification of e-business capacity

Moisés Goldszmidt, Derek Palma, Bikash Sabata, 2001, EC '01.

Equality and Social Mobility in Twitter Discussion Groups

Omer Reingold, Gert R. G. Lanckriet, Nina Mishra, 2016, WSDM.

Wheels within Wheels: Making Fault Management Cost-Effective

Priya Narasimhan, Simin Nadjm-Tehrani, Miroslaw Malek, 2009, Self-Healing and Self-Adaptive Systems.

How dynamic are IP addresses?

Fang Yu, Yinglian Xie, Ted Wobber, 2007, SIGCOMM '07.

Making life better one large system at a time: Challenges for UAI research

Moisés Goldszmidt, M. Goldszmidt, 2007, UAI.

Reasoning with Qualitative Probabilities Can Be Tractable pdf

Moisés Goldszmidt, Judea Pearl, J. Pearl, 1992, UAI.

Scalable and systematic detection of buggy inconsistencies in source code

Junfeng Yang, Zhendong Su, Mark Gabel, 2010, OOPSLA.

Star-Cap: Cluster Power Management Using Software-Only Models

John D. Davis, Moisés Goldszmidt, Suzanne Rivoire, 2014, 2014 43rd International Conference on Parallel Processing Workshops.

Edith Cohen, Andrew V. Goldberg, Daniel Delling, 2013, COSN '13.

Building Classifiers Using Bayesian Networks

Nir Friedman, Moisés Goldszmidt, M. Goldszmidt, 1996, AAAI/IAAI, Vol. 2.

Context-Specific Independence in Bayesian Networks pdf

Craig Boutilier, Nir Friedman, Daphne Koller, 1996, UAI.

Sequential Update of Bayesian Network Structure pdf

Nir Friedman, Moisés Goldszmidt, M. Goldszmidt, 1997, UAI.

Short term performance forecasting in enterprise systems

Moisés Goldszmidt, Ira Cohen, Rob Powers, 2005, KDD '05.

Toward automatic policy refinement in repair services for large distributed systems

Yue Zhang, Mihai Budiu, Moisés Goldszmidt, 2010, OPSR.

Exploiting Structure in Policy Construction

Craig Boutilier, Richard Dearden, Moisés Goldszmidt, 1995, IJCAI.

On the Relation between Kappa Calculus and Probabilistic Reasoning

Moisés Goldszmidt, Adnan Darwiche, 1994, UAI.

Mining web logs to debug distant connectivity problems

David A. Maltz, John C. Platt, Moisés Goldszmidt, 2006, MineNet '06.

Discretizing Continuous Attributes While Learning Bayesian Networks

Nir Friedman, Moisés Goldszmidt, M. Goldszmidt, 1996, ICML.

Revision by Conditional Beliefs

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 1993, AAAI.

The Frame Problem and Bayesian Network Action Representation

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 1996, Canadian Conference on AI.

Fast Belief Update Using Order-of-Magnitude Probabilities

Moisés Goldszmidt, M. Goldszmidt, 1995, UAI.

Continuous Value Function Approximation for Sequential Bidding Policies pdf

Craig Boutilier, Moisés Goldszmidt, Bikash Sabata, 1999, UAI.

Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions

Moisés Goldszmidt, Judea Pearl, J. Pearl, 1992, KR.

Stochastic dynamic programming with factored representations

Craig Boutilier, Richard Dearden, Moisés Goldszmidt, 2000, Artif. Intell..

Research Issues in Qualitative and Abstract Probability

Moisés Goldszmidt, M. Goldszmidt, 1994, AI Mag..

Capturing, indexing, clustering, and retrieving system history

Armando Fox, Terence Kelly, Moisés Goldszmidt, 2005, SOSP '05.

Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 2000 .

Finding Soon-to-Fail Disks in a Haystack

Moisés Goldszmidt, 2012, HotStorage.

Ensembles of models for automated diagnosis of system performance problems

Armando Fox, Moisés Goldszmidt, Ira Cohen, 2005, 2005 International Conference on Dependable Systems and Networks (DSN'05).

Learning Bayesian Networks with Local Structure pdf

Nir Friedman, Moisés Goldszmidt, M. Goldszmidt, 1996, UAI.

Extending theories of action : formal theory & practical applications : papers from the 1995 AAAI Symposium, March 27-29, Stanford, California

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 1995 .

Resource Allocation Using Sequential Auctions

Craig Boutilier, Moisés Goldszmidt, Claire Monteleoni, 1999, Agent Mediated Electronic Commerce.

Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control

Jeffrey S. Chase, Terence Kelly, Moisés Goldszmidt, 2004, OSDI.

Action Networks: A Framework for Reasoning about Actions and Change under Uncertainty

Moisés Goldszmidt, Adnan Darwiche, Adnan Darwiche, 1994, UAI.

System-Z+: A Formalism for Reasoning with Variable-Strength Defaults

Moisés Goldszmidt, Judea Pearl, J. Pearl, 1991, AAAI.

Bayesian Network Classifiers

Nir Friedman, Dan Geiger, Moisés Goldszmidt, 1997, Machine Learning.

Sequential Auctions for the Allocation of Resources with Complementarities

Craig Boutilier, Moisés Goldszmidt, Bikash Sabata, 1999, IJCAI.

On the application of the bootstrap for computing confidence measures on features of induced Bayesian networks

Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner, 1999, AISTATS.

Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting

Nir Friedman, Moisés Goldszmidt, Thomas J. Lee, 1998, ICML.

HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems

Armando Fox, Moisés Goldszmidt, Peter Bodík, 2008, SysML.

On the revision of conditional belief sets

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 1996 .

Three Research Challenges at the Intersection of Machine Learning, Statistical Induction, and Systems

Armando Fox, Moisés Goldszmidt, Ira Cohen, 2005, HotOS.

Data Analysis with Bayesian Networks: A Bootstrap Approach

Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner, 1999, UAI.

Navigation made personal: inferring driving preferences from GPS traces

Andrew V. Goldberg, John Krumm, Daniel Delling, 2015, SIGSPATIAL/GIS.

CHAOS: Composable Highly Accurate OS-based power models

John D. Davis, Moisés Goldszmidt, Ehsan K. Ardestani, 2012, 2012 IEEE International Symposium on Workload Characterization (IISWC).

Challenge: What is the Impact of Bayesian Networks on Learning?

David Heckerman, Stuart J. Russell, Nir Friedman, 1997, IJCAI.

Deciding Consistency of Databases Containing Defeasible and Strict Information pdf

Moisés Goldszmidt, Judea Pearl, 1989, UAI.

Boot-Strapping Language Identifiers for Short Colloquial Postings

Marc Najork, Moisés Goldszmidt, Stelios Paparizos, 2013, ECML/PKDD.

CT-NOR: Representing and Reasoning About Events in Continuous Time

Richard Mortier, Richard Black, Moisés Goldszmidt, 2008, UAI.

Discovering Dependencies for Network Management

Paramvir Bahl, Ranveer Chandra, Srikanth Kandula, 2006, HotNets.

A Maximum Entropy Approach to Nonmonotonic Reasoning

Moisés Goldszmidt, Paul H. Morris, Judea Pearl, 1990, IEEE Trans. Pattern Anal. Mach. Intell..

Hunting for Problems with Artemis

Mihai Budiu, Moisés Goldszmidt, Gabriela F. Cretu-Ciocarlie, 2008, WASL.

Properties and Benefits of Calibrated Classifiers

Moisés Goldszmidt, Ira Cohen, M. Goldszmidt, 2004, PKDD.