Re: [UAI] deep learning information requested

I'd recommend https://github.com/tensorflow/skflow which is a scikit-learn style python wrapper on top of Tensorflow. It will be trivial to do the comparisons you stated in this framework. On Sat, May 7, 2016 at 7:51 AM, Richard E Neapolitan < richard.neapoli...@northwestern.edu> wrote: > As you

Re: [UAI] CFP AAAI Spring Symposium on Knowledge Representation & Reasoning: Combining Statistical and Symbolic approaches

UPDATE: deadline extended to October 20, 2014. On Thu, Sep 11, 2014 at 12:50 AM, Kevin Murphy wrote: > We invite submissions to the AAAI Spring Symposium on "Knowledge > Representation and Reasoning: Integrating Symbolic and Distributional > Approaches", to be held at Stan

[UAI] CFP AAAI Spring Symposium on Knowledge Representation & Reasoning: Combining Statistical and Symbolic approaches

format, and <http://ttic.uchicago.edu/~dmcallester/>are due by October 10, 2014. Please upload via https://easychair.org/conferences/?conf=krr2015 ; no email submissions will be accepted. Author names and affiliations should be displayed on the first page. The organizers are Andrew McCallum (U

Re: [UAI] Learning Bayes nets with continous variables by scoring

http://cran.r-project.org/web/packages/deal/index.html On Saturday, May 31, 2014, Richard E Neapolitan < richard.neapoli...@northwestern.edu> wrote: > Dear Colleagues, > In Chapter 8 of my Learning Bayesian Network text I present an algorithm > for learning Bayes nets with continuous variables b

[UAI] CFP: ICML Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG2013)

asier for participants from NAACL HLT conference to attend). ORGANIZING COMMITTEE - Hal Daume III, University of Maryland - Evgeniy Gabrilovich, Google - Lise Getoor, University of Maryland - Kevin Murphy, Google INVITED SPEAKERS - William Cohen, CMU - Andrew McCallum, UMass - Chris Re, Univ

Re: [UAI] BN learning packages for mixed data types

Here is a package in R to do that (uses local search with Bayesian scoring, assuming conditional linear Gaussian CPDs with conjugate priors) http://cran.r-project.org/web/packages/deal/index.html Kevin On Sat, Dec 15, 2012 at 6:46 AM, Richard E. Neapolitan < richard.neapoli...@northwestern.edu

[UAI] new book: "Machine learning: a probabilistic perspective"

I am pleased to announce the publication of my book, "Machine learning: a probabilistic perspective" (MIT Press 2012). This book provides a unified view of machine learning, based on probabilistic inference and graphical models. It is designed to be accessible to upper level undergraduates as well

[UAI] UAI 2012 last Call For Papers - deadline March 30th

Reminder: the UAI paper submission deadline is March 30th. Details on paper submission can be found here: http://auai.org/uai2012/cfp.shtml Kevin Murphy and Nando de Freitas On Sun, Nov 27, 2011 at 5:41 PM, Kevin Murphy wrote: > UAI (the Conference on Uncertainty in Artificial Intellige

Re: [UAI] Question about incremental learning of Bayesian network parameters

Below are a few refs on incremental/ online EM. Some papers focus on mixture models, but the theory can be easily generalized to any directed graphical model. HTH Kevin @incollection{Neal98, author = "R. M. Neal and G. E. Hinton", title = "A new view of the {EM} algorithm that justifies incre

[UAI] UAI 2012 Call For Papers

de Freitas, University of British Columbia Kevin Murphy, University of British Columbia / Google Research General Chair: Fabio Cozman, Universidade de Sao Paulo Local Arrangements Chair: David Heckerman, Microsoft Research Senior Program Committee: TBD ___

Re: [UAI] Learning Parameters for the Noisy-OR model

Rich, Judea is right. In fact, Radford Neal discussed both logistic regression and noisy-OR belief nets (with hidden variables) almost 20 years ago, and used stochastic gradient descent to fit them (this was long before deep belief nets became fashionable :) If you have more positive examples tha

Re: [UAI] Bayes inference in hardware?

Did you intend a comment that didn't get included in your message? I'd be > curious about your opinions. > Best regards, > Tod > > On Sat, Aug 28, 2010 at 10:44 PM, Kevin Murphy wrote: >> >> On Aug 28, 2010 2:58 PM, "David Pennock" wrote: >> > Lyr

Re: [UAI] Bayes inference in hardware?

On Aug 28, 2010 2:58 PM, "David Pennock" wrote: > Lyric Semiconductor Develops a Probability Chip > http://www.nytimes.com/2010/08/18/technology/18chip.html > > ... plans... to build a chip that can compute likelihoods... "We decided > there are lots of probability problems out there that are so i

[UAI] workshop on social network analysis

Faculty and postdocs are invited to attend a workshop on statistical analysis of social networks. The workshop will be in Whistler, BC, Canada, June 26-27, 2010. For further details, please visit http://bayesnet.rglab.org/activities/workshop-social-networks/ Adrian Dobra Raphael Gottardo Kevin

[UAI] postdoc in learning/vision at UBC

will work with one or more of the following NCAP members: Kevin Murphy, Nando de Freitas and David Lowe. The starting date is flexible, but is expected to be sometime between June and September 2010. The precise topics of research are still to be determined, but will be related to using

[UAI] postdoc opportunity at UBC in vision/learning

with one or more of Kevin Murphy, Nando de Freitas, and David Lowe. The starting date is flexible, but it is expected to be sometime between June and September 2010. The precise topics of research are still to be determined, but will be related to using unsupervised, semi-supervised and '

[UAI] UBC Statistics tenure track position

The Department of Statistics at the University of British Columbia, Vancouver, invites applications for a tenure-track position at the rank of Assistant Professor, to start 1 July 2010. The application deadline is 15 November 2009. The applicant must have a PhD in statistics or a closely related fi

[UAI] 2nd CFP - NIPS workshop on statistical models of networks

n pdf format to [EMAIL PROTECTED] More details can be found below and at http://www.cs.ubc.ca/~murphyk/nips07NetworkWorkshop/ Kevin Murphy Lise Getoor Eric Xing Raphael Gottardo The purpose of the workshop is to bring together people from different disciplines - computer science, stat

[UAI] software release: Bayesian DAG learning

ference of posterior features/ modes using dynamic programming. It also supports MCMC (on DAGs and orders) with various proposal distributions. Details are given at the URL below. Feedback is welcome. Kevin Murphy http://www.cs.ubc.ca/~murphyk/Software/BDAGL/index.html Major features - Comput

[UAI] CFP - NIPS workshop on statistical models of networks

form the basis of fruitful discussion. If you would like to contribute, then please send a 1-2 page abstract by October 15, 11:59pm PST to [EMAIL PROTECTED] (Details below.) I am looking forward to seeing you there! Kevin Murphy Lise Getoor Eric Xing Raphael Gottardo SUBMISSION INSTRUCTIO