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13 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.

27 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.

13 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

27 Jan 2023: The most obvious application of noveltydetection is that, by detecting novel events, systems can automatically alert people when.

27 Jan 2023: 1http://www.ai.mit.edu/people/jrennie/20Newsgroups/. 10 20 30 40 500. 100. 200. 300. 400. 500.

13 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

13 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,.

13 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

3 Jul 2024: Miri Zilka | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/miri-zilka/ Miri Zilka Wowchemy (https://wowchemy.com) en-us ... zilka/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg Miri Zilka https://mlg

13 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

27 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

13 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

27 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

27 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”?

27 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.

13 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.).

13 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

19 Jun 2024: for most people.8 Moreover, decisions about how to define objective functions and what training data to use can introduce human error into AI decision making.9 Thus, there exist legitimate

13 Feb 2023: We use these categories to construct a list of triplescontaining facts about movies and people. ... wildly inconsistent birthdates for people), indicating that SiGMa could be used tohighlight data inconsistencies between databases.

27 Jan 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

13 Feb 2023: 2α. This processcontinues until all customers have seats, defining a distribution over allocations of people to tables,and, more generally, objects to classes.

27 Jan 2023: If people want to applyit to problems A, B, C, D.

13 Feb 2023: These datasets can be found in NeilLawrence’s GPSIM toolbox: http://staffwww.dcs.shef.ac.uk/people/N.Lawrence/gpsim/. Typical GPRN (VB) runtimes for the 50D and 1000D datasets were

13 Feb 2023: Theface dataset from UCI KDD repository [2] consists of640 face images of 20 people taken at varying poses(straight, left, right, up).

13 Feb 2023: 3Matlab code is available from the authors4http://people.csail.mit.edu/jrennie/20Newsgroups/5http://kdd.ics.uci.edu/databases/reuters21578/. 0 5 10 15 20 25 30 350.

13 Feb 2023: 3 From http://www.vision.ee.ethz.ch/pgehler/projects/iccv09/4 DenseHueV3H1 from http://lear.inrialpes.fr/people/guillaumin/data.php5 From http://attributes.kyb.tuebingen.mpg.de/. 12 T.

3 Jul 2024: David Burt | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/david-burt/ David Burt Wowchemy (https://wowchemy.com) en-us ... burt/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg David Burt

19 Nov 2023: Waiting times. The bus arrives on average every 15 minutes. Compare the average waiting timefor people arriving randomly if buses 1) arrive regularly, 2) arrive randomly.

3 Jul 2024: David Janz | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/david-janz/ David Janz Wowchemy (https://wowchemy.com) en-us ... janz/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg David Janz

3 Jul 2024: Wenbo Gong | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/wenbo-gong/ Wenbo Gong Wowchemy (https://wowchemy.com) en-us ... gong/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg Wenbo Gong

19 Nov 2023: The averageincome is very different from the median, since a few people have very largeincomes.

19 Jun 2024: That is, max-margin training with approximateinference—which is something people do anyway to learn graphical models—reduces not only theprediction error, but also the inference approximation error.

27 Jan 2023: data, using webcam im-ages of ten people that were collected over a period of sev-eral months. ... People changed. 2Instructions for obtaining the dataset can be found at http://www.cs.cmu.edu/˜zhuxj/freefoodcam.

19 Jun 2024: 2.2. Fairness Criteria. In large part, works that formalize fairness in machine learn-ing do so by balancing a certain condition between groupsof people with different sensitive attributes, z versus ... Figure 3. The fraction of people with z = 0

19 Jun 2024: SampleSize” denotes how many people received this variant. The next two columns contain the proportionof correct answers when identifying epistemic or aleatoric uncertainty for LSAT, respectively.

19 Jun 2024: 1 Introduction. Many important data-sets involve networks: people belong to social networks, webpages are joined in a linkgraph, and power utilities are connected in a grid.

13 Feb 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.

19 Jun 2024: in terms of thetotal number of people influenced, and the fraction of peopleinfluenced from both A and B communities. ... maximizing the to-tal number of influenced people, while also significantly de-creasing disparity.

13 Feb 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.

3 Jul 2024: Chaochao Lu | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/chaochao-lu/ Chaochao Lu Wowchemy (https://wowchemy.com) en-us ... lu/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg Chaochao Lu

27 Jan 2023: Example 1:You are trying to model people’s patterns of movie preferences. ... people who like movies with Marlon Brando, people who like action movies but not science.

13 Feb 2023: In the social sciences, one may want to compare whether the behavior of agroup of people, e.g.

13 Feb 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.

27 Jan 2023: Retrieving Movies. EachMovie Data: 1813 people by 1532 movies. Retrieving Movies.

19 Jun 2024: Let x2 be a sensitive fea-ture, such as age, given by the shape of the point: assume youngand mature people. ... 100% points are accurate (correctly, blue maturepeople are in the blue zone, red mature people are in the red zone).

13 Feb 2023: In social network anal-ysis, people are connected by their interactions, e.g.,phone calls. ... Active groups of people have strong in-teractions among them, but many groups may existwith fewer interactions.

13 Feb 2023: People respond differ-ently according to gender. Human computer interactionsystem can be more user-friendly and more human-likewhen it considers the users gender. ... The databasePF01 has color face images of 103 Asian people, 53 menand 50 women, where

3 Jul 2024: Jonathan So | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/jonathan-so/ Jonathan So Wowchemy (https://wowchemy.com) en-us ... so/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg Jonathan So

3 Jul 2024: Ross Clarke | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/ross-clarke/ Ross Clarke Wowchemy (https://wowchemy.com) en-us ... clarke/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg Ross Clarke https:

3 Jul 2024: Umang Bhatt | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/umang-bhatt/ Umang Bhatt Wowchemy (https://wowchemy.com) en-us ... bhatt/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg Umang Bhatt https:/