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Cambridge Machine Learning Group : People : Hong Ge
https://mlg.eng.cam.ac.uk/hong/13 Dec 2023: Hong Ge. Principal Investigator. Senior Research Fellow. atFellow of Darwin college. Email: hg344 [at] cam [dot] ac [dot] uk. I am a Senior Research Fellow in the Department of Engineering at the University of Cambridge. I lead the Turing language -
Some views on the US terrorist attack
https://mlg.eng.cam.ac.uk/zoubin/misc/us-afghan.html27 Jan 2023: This was an assault not merely on one nation or one people, but on principles of respect for civilian life cherished by all people. ... People committed to justice and law and human rights must never descend to the level of the perpetrators of such acts. -
Cognitive Systems Engineering @ Cambridge University
https://mlg.eng.cam.ac.uk/cogsys/27 Jan 2023: Relevant Links. People. My research interests are in statistical modeling for speech and language processing. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/authors/13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Tameem Adel. George Nicholson, Marta Blangiardo, Mark Briers, Peter J Diggle, Tor Erlend Fjelde, Hong Ge, Robert J B Goudie, -
Bayesian Machine Learning
https://mlg.eng.cam.ac.uk/zoubin/bayesian.html27 Jan 2023: The purpose of this web page is to provide some links for people interested in the application of Bayesian ideas to Machine Learning. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/13 Feb 2023: In 16th Bayesian Modelling Applications Workshop at UAI, 2022, 2022. Abstract: The Upper Indus Basin, Himalayas provides water for 270 million people and countless ecosystems. -
Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/topics/13 Feb 2023: In 16th Bayesian Modelling Applications Workshop at UAI, 2022, 2022. Abstract: The Upper Indus Basin, Himalayas provides water for 270 million people and countless ecosystems. -
- IB Paper 7: Probability and Statistics
https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/lect06.pdf19 Nov 2023: We get 10 people to blind test, each given a randomly selected drink. ... For example, thenull hypothesis could be that people can’t tell the difference betweenwhiskies. • -
- IB Paper 7: Probability and Statistics
https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/lect02.pdf19 Nov 2023: Example: What is the probability that two people both have their birthday inJanuary? ... First, work out the probability qn that with n people, none share birthdays. -
paper8-lect0-13
https://mlg.eng.cam.ac.uk/zoubin/p8-07/lect0.pdf27 Jan 2023: your preferences to other people’s preferences • online shopping: searching for products by giving a few examples • online dating services / social networks: searching for people based on profiles • finance: finding similar ... Appendix. Movie -
4F13: Machine Learninghttp://learning.eng.cam.ac.uk/zoubin/ml06/…
https://mlg.eng.cam.ac.uk/zoubin/ml06/lecture8.pdf27 Jan 2023: Statistical samplingWhat is the average height h of people p in Cambridge C? ... EpC[h(p)] 1|C|. pC. h(p). 1S. Ss=1. h(p(s). ), for random survey of S people {p(s)} C. -
10 | UNIVERSITY OF CAMBRIDGE NEWSLETTER | FEBRUARY / ...
https://mlg.eng.cam.ac.uk/zoubin/misc/KarstenMalariaNewsletter.pdf27 Jan 2023: According to the World Health Organisation, more than 1 million people die from its effects every 12 months. ... Near-missesWhy do people gamble if they know that the house always wins? -
Mind Reading by Machine Learning
https://mlg.eng.cam.ac.uk/pub/pdf/HusNopLen10.pdf13 Feb 2023: Finally, we also implemented as an alternative methoda previously published algorithm (‘MCMC with people’)to infer subjective distributions (Sanborn & Griffiths,2008). ... Notably, it outperformedthe ‘MCMC with people’ method even in the case -
A Simple Bayesian Framework for Content-Based Image Retrieval…
https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha06.pdf27 Jan 2023: everyday lives of people around the world. Accordingly,. there has been a substantial amount of CBIR research, and. ... as ease of displaying the images, reasonable quantities for. human hand labelling, and because when people perform. -
The Indian Buffet Process and Extensions Zoubin Ghahramani University …
https://mlg.eng.cam.ac.uk/zoubin/talks/turin09.pdf27 Jan 2023: But clustering models are restrictive. • Consider modelling people’s movie preferences (the “Netflix” problem). ... 3.1 The Independent Component Analysis i F H M M. Independent C omponent A nal ysis [9] (I C A ) means di fferent things to di -
Gender Classification with Bayesian Kernel Methods [IJCNN1261]
https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06b.pdf13 Feb 2023: People respond differentlyaccording to gender. Human computer interaction system canbe more user-friendly and more human-like when it considersthe user’s gender. ... This database has color faceimages of 103 Asian people, 53 men and 50 women, where. -
Variational Inference for BayesianMixtures of Factor Analysers Zoubin …
https://mlg.eng.cam.ac.uk/zoubin/papers/nips99.pdf27 Jan 2023: Variational Inference for BayesianMixtures of Factor Analysers. Zoubin Ghahramani and Matthew J. Beal. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk -
A Nonparametric Bayesian Approach toModeling Overlapping Clusters…
https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha07over.pdf27 Jan 2023: A common approach is tocluster people; clusters could characterize gender, age,ethnicity, or simply movie taste (e.g. ... people who likehorror movies). However, any particular person canclearly belong to multiple such clusters at the sametime, e.g. -
Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…
https://mlg.eng.cam.ac.uk/zoubin/papers/bsets-nips05.pdf27 Jan 2023: Depending on the application, the set D may consist of web pages, movies, people,words, proteins, images, or any other object we may wish to form queries on. ... The size of the dataset after preprocessing was 1813 people by 1532 movies. -
The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...
https://mlg.eng.cam.ac.uk/zoubin/papers/ihmm.pdf27 Jan 2023: The Infinite Hidden Markov Model. Matthew J. Beal Zoubin Ghahramani Carl Edward Rasmussen. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk. {m.beal,zoubin,edward -
Graphical Models Zoubin Ghahramani Department of…
https://mlg.eng.cam.ac.uk/zoubin/talks/lect2gm.pdf27 Jan 2023: many others, see http://people.cs.ubc.ca/murphyk/Software/bnsoft.html. Summary. • inference consists of the problem of computingp(variables of interest|observed variables). • -
Propagation Algorithms for VariationalBayesian Learning Zoubin…
https://mlg.eng.cam.ac.uk/pub/pdf/GhaBea00a.pdf13 Feb 2023: Propagation Algorithms for VariationalBayesian Learning. Zoubin Ghahramani and Matthew J. Beal. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk -
ibpnips4.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/GriGha06.pdf13 Feb 2023: αi1α. Customers areexchangeableunder this process: the probability of a particularseating arrangement depends only on the number of people at each table, and not the orderin which they enter the restaurant. -
Bayesian nonparametrics andthe probabilistic approach to modelling…
https://mlg.eng.cam.ac.uk/pub/pdf/Gha12.pdf13 Feb 2023: People often object to Bayesian methods on the basis that it forces one todefine priors on the parameters. ... Finally, people trained in the sciences are uncomfortable with the very notionof subjectivity in data analysis and modelling. -
December 8, 2008 5:18 Connection Science connsci Connection…
https://mlg.eng.cam.ac.uk/pub/pdf/DosRoy08.pdf13 Feb 2023: Unfortunately, agents that interact with people using natural language often expe-rience communication errors and do not correctly understand the user’s intentions. ... Another set of challenges arise because people may have different preferences inhow -
Propagation Algorithms for VariationalBayesian Learning Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/papers/nips00beal.pdf27 Jan 2023: Propagation Algorithms for VariationalBayesian Learning. Zoubin Ghahramani and Matthew J. Beal. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk -
The Random Forest Kerneland creating other kernels for big data from…
https://mlg.eng.cam.ac.uk/pub/pdf/DavGha14a.pdf13 Feb 2023: As theevening progresses, these groups naturally evolve as people. The Random Forest Kernel (and creating other kernels for big data from random partitions). -
Large Scale Nonparametric Bayesian Inference:Data Parallelisation in…
https://mlg.eng.cam.ac.uk/pub/pdf/DosKnoMohGha09.pdf13 Feb 2023: While large, thesedatasets are often still sparse: For example, a biologist may have expression levels from thousandsof genes from only a few people. ... buffet. The first customer takesthe first Poisson(α) dishes. The following customers try previously -
Learning with Multiple Labels
https://mlg.eng.cam.ac.uk/pub/pdf/JinGha02a.pdf13 Feb 2023: As will be shown later, this constraint makes it possible for us to build up a purely discriminative approach while for learning problems using unlabeled data people usually take a generative -
A Probabilistic Model for Online Document Clustering with Application …
https://mlg.eng.cam.ac.uk/pub/pdf/ZhaGhaYan04a.pdf13 Feb 2023: The most obvious application of noveltydetection is that, by detecting novel events, systems can automatically alert people whennew events happen, for example. -
The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...
https://mlg.eng.cam.ac.uk/pub/pdf/BeaGhaRas02.pdf13 Feb 2023: The Infinite Hidden Markov Model. Matthew J. Beal Zoubin Ghahramani Carl Edward Rasmussen. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk. {m.beal,zoubin,edward -
Statistical Models for Partial Membership Katherine A. Heller…
https://mlg.eng.cam.ac.uk/pub/pdf/HelWilGha08.pdf13 Feb 2023: is expected to be (Are 100% ofthe people themselves 75% “White British” and 25%“Pakistani”? ... Or are 75% of the people 100% “WhiteBritish” and the rest are 100% “Pakistani”? -
544 The Block Diagonal Infinite Hidden Markov Model Thomas ...
https://mlg.eng.cam.ac.uk/pub/pdf/SteGhaGoretal09.pdf13 Feb 2023: This datasettakes the form of a matrix of counts cmn of the numberof people commuting each day between municipalitiesindexed by m and n. ... We may assume that this matrixhas a block-diagonal structure, since people are morelikely to commute between -
Variational Inference for the Indian Buffet Process Finale…
https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09.pdf13 Feb 2023: The first customer takes the firstPoisson(α) dishes. The ith customer then takes dishesthat have been previously sampled with probabilitymk/i, where mk is the number of people who have ... The YaleFaces (Georghiades et al., 2001) dataset consisted of721 -
Gaussian Processes for time-marked time-series data John P.…
https://mlg.eng.cam.ac.uk/pub/pdf/CunGhaRas12.pdf13 Feb 2023: see attendance of 40-55 thou-sand people. ... 259. Gaussian Processes for time-marked time-series data. ball game on traffic, as people tend to arrive and leaveearly. -
nips2007-final.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/SilChuGha08.pdf13 Feb 2023: available at http://people.scs.fsu.edu/burkardt/msrc/rcm/rcm.html. Table 1: The averaged AUC scores of citation prediction on test cases of the Cora database arerecorded along with -
A Probabilistic Model for Online DocumentClustering with Application…
https://mlg.eng.cam.ac.uk/zoubin/papers/zgy-nips04.pdf27 Jan 2023: The most obvious application of noveltydetection is that, by detecting novel events, systems can automatically alert people when. -
Statistical Causal Inference
https://mlg.eng.cam.ac.uk/zoubin/SALD/Intro-Causal.pdf27 Jan 2023: For example, although poverty may cause crime, we cannot ethically intervene to impoverish people. ... single marginal independence between X1 and X2. This gives many people pause, as it should. -
zglactive.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/zglactive.pdf27 Jan 2023: 1http://www.ai.mit.edu/people/jrennie/20Newsgroups/. 10 20 30 40 500. 100. 200. 300. 400. 500. -
Bayesian Structured Prediction using Gaussian Processes Sébastien…
https://mlg.eng.cam.ac.uk/pub/pdf/BraQuaGha14a.pdf13 Feb 2023: 1by Taku Kudo http://crfpp.googlecode.com/svn/trunk/doc/index.html2by Mark Schmidt http://www.di.ens.fr/mschmidt/Software/crfChain.html3by Thorsten Joachims -
images/test_user_webdesign.eps
https://mlg.eng.cam.ac.uk/pub/pdf/IwaShaGha13a.pdf13 Feb 2023: zoubin@eng.cam.ac.uk. ABSTRACT. Many people share their activities with others through on-line communities. ... 1. INTRODUCTIONMany people share their activities with others through on-. line communities, such as social sharing, social networking,. -
Accelerated Sampling for the Indian Buffet Process Finale Doshi-Velez …
https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09.pdf13 Feb 2023: The first customer takes the first Poisson(α)dishes. The following customers try previously sam-pled dishes with probability mk/n, where mk is thenumber of people who tried dish k -
Accelerated sampling for the Indian Buffet Process
https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09a.pdf13 Feb 2023: The first customer takes the first Poisson(α)dishes. The following customers try previously sam-pled dishes with probability mk/n, where mk is thenumber of people who tried dish k -
Formatting Instructions for NIPS -8-
https://mlg.eng.cam.ac.uk/zoubin/papers/JinGha02.pdf27 Jan 2023: As will be shown later, this constraint makes it possible for us to build up a purely discriminative approach while for learning problems using unlabeled data people usually take a generative -
Variational Inference for Nonparametric Multiple Clustering Yue Guan, …
https://mlg.eng.cam.ac.uk/pub/pdf/GuaDyNiuetal10.pdf13 Feb 2023: For example, face images of people can be grouped basedon their pose or clustered based on the identity of the person. ... 4.2.1 Experiments on Face DataThe face dataset from UCI KDD repository [2] consists of 640 faceimages of 20 people taken at varying -
TCS November 2001, 2nd pages.qxd
https://mlg.eng.cam.ac.uk/zoubin/papers/WolGhaFla01.pdf27 Jan 2023: Movement provides the only means we have to interact with both the worldand other people. ... http://tics.trends.com. 493Review. As stated at the beginning of this article, directinformation transmission between people, such asspeech, arm gestures or -
Statistical Models for Partial Membership Katherine A. Heller…
https://mlg.eng.cam.ac.uk/zoubin/papers/HelWilGha08.pdf27 Jan 2023: is expected to be (Are 100% ofthe people themselves 75% “White British” and 25%“Pakistani”? ... Or are 75% of the people 100% “WhiteBritish” and the rest are 100% “Pakistani”? -
ibpnips4.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/ibp-nips05.pdf27 Jan 2023: αi1α. Customers areexchangeableunder this process: the probability of a particularseating arrangement depends only on the number of people at each table, and not the orderin which they enter the restaurant. -
Bayesian Knowledge Corroboration with LogicalRules and User Feedback…
https://mlg.eng.cam.ac.uk/pub/pdf/KasVanGraHer10.pdf13 Feb 2023: Such tasks could aim at retrieving relations between companies, people,prices, product types, etc. ... The labeled nodes of an ER graph represent entities (e.g., people, locations,products, dates, etc.). -
Bayesian Classifier Combination Hyun-Chul Kim Zoubin GhahramaniKorea…
https://mlg.eng.cam.ac.uk/pub/pdf/KimGha12.pdf13 Feb 2023: Recently, the Netflix Grand Prize, a contest todevelop methods for predicting how much people willenjoy a movie according to their movie preferences,was awarded to a team which combined many
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