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Black Cantabs: History Makers
https://www.cam.ac.uk/stories/black-cantabs28 Sep 2018: 9 in A major (Op.47) – the Kreutzer Sonata - to him. -
ANALYSIS II—EXAMPLES 4 Mich. 2018 Please email comments, corrections…
https://www.dpmms.cam.ac.uk/study/IB/AnalysisII/2018-2019/18sheet4.pdf23 Nov 2018: Prove the following: (i) if A L(Rn; Rm) then ‖A‖op =supxRn{0}. ... then 1n. (nj=1. mi=1 A. 2ij. )1/2‖A‖op. (nj=1. mi=1 A. 2ij. -
Hopf measuring comonoids and enrichment
https://www.dpmms.cam.ac.uk/~jmeh1/Research/Publications/2017/hlfv17.pdf4 Apr 2018: P : Mon(V)op Mon(V) Comon(V) (30)is called the Sweedler hom in [4]. ... The functor P (, ) : Mon(V)op Mon(V) Comon(V) is continuousin each variable. -
Bockfjorden 2017
https://www.spri.cam.ac.uk/about/funding/ginowatkins/grants/2017/svalbard.pdf3 Apr 2018: 24 Vegetables 2Kgs EFI . 25 biscuits 2 x 3 6Packets Co-op . ... 26 Malted Milk 2 x 3 6packets Co-op . 27 Spread 6 tubs Co-op . -
OP-CBIO180177 2944..2950
www-vendruscolo.ch.cam.ac.uk/liberis2018b.pdf23 Sep 2018: Sequence analysis. Parapred: antibody paratope prediction using. convolutional and recurrent neural networks. Edgar Liberis1,, Petar Velickovic1, Pietro Sormanni2,,Michele Vendruscolo2 and Pietro Liò1. 1Department of Computer Science and Technology -
College Notices - Cambridge University Reporter 6490
https://www.reporter.admin.cam.ac.uk/reporter/2017-18/weekly/6490/section13.shtml10 Jan 2018: The programme will include Haydn’s Quartet in D minor Op 42, Mozart’s ‘Hunt ‘ Quartet K458, and Beethoven’s Razoumovsky Quartet Op 59 No 1. -
Guilelmus Peraldus Sermons - Trinity Hall Cambridge
https://www.trinhall.cam.ac.uk/manuscripts/guilelmus-peraldus-sermons/7 Feb 2018: N.J.R. James. Author:. Guilelmus Peraldus, OP (ca. 1190 – 1271). Language:. -
Noname manuscript No.(will be inserted by the editor) Space-based ...
https://people.ast.cam.ac.uk/~wyatt/dlab18.pdf31 Jul 2018: JPL Publication. Lawson PR, Lay OP, Johnston KJ, Beichman CA (2007) Terrestrial PlanetFinder Interferometer Science Working Group Report. ... NASA STI/ReconTechnical Report N 8. Lay OP (2004) Systematic Errors in Nulling Interferometers. -
Selwyn College Chapel – Music for Choral Services Michaelmas Term 2007
https://www.sel.cam.ac.uk/sites/default/files/assets/chapel/music-list-lent-2018.pdf11 Jan 2018: Op. 56 Adagio – Guilmant. Wednesday 14 February INTROIT Miserere mei, Deus – Allegri NEH 64 – Abridge ASH WEDNESDAY MASS SETTING Mass for five voices – Byrd 67 – Aus der Tiefe Choral Eucharist 9pm ... the Choir of ANTHEM Bethlehem Down – -
k-Nearest Neighbor Monte-Carlo Control Algorithmfor POMDP-based…
mi.eng.cam.ac.uk/~sjy/papers/lgjk09.pdf20 Feb 2018: In Section 3, the grid-based ap-. proach to policy optimisation is introduced followedby a presentation of the k-nn Monte-Carlo policy op-timization in Section 4, along with an ... 5 ConclusionIn this paper, an extension to a grid-based policy -
Part IB GEOMETRY (Lent 2018): Example Sheet 3…
https://www.dpmms.cam.ac.uk/~agk22/geom-sheet3.pdf28 Feb 2018: OP , where O denotes the origin. 3. Show the stereographic projection map π : S {N} C, where N denotes the northpole, defines a chart. -
calib.dvi
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2000-ECCV-Malis.pdf13 Mar 2018: " #$% #&')(,%-&-./0 #1%2%-&-3145 6789. ,9:0;) ". <>=-?A@CB,D4EA?GFHDJIKML@JNPO-QSRS@7TH?AU2@VEAEAD. WXZY%[XV] ]_[XZYa]_bdc-feg+]_X4ehVic-g&jJ[lkJY%]mHXZ[no]_pf[qesrt2uVgbZ[XZY-ev%Xxwyef] ]_ehZiz{'| }0ic-g&jJ[lkJY%]. -ZyP%Joo%y-o-yf%_yPoyo -
PowerPoint Presentation
https://anaesthetics.medschl.cam.ac.uk/files/2018/05/stubbs_aa.pdf29 May 2018: Candidate Predictors & Methods. Op.Severity. CFS. Poly-pharmacy. ASA. Function. Comorbidity. Univariate Analysis. -
IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. ...
mi.eng.cam.ac.uk/~sjy/papers/scyo09.pdf20 Feb 2018: increases. Pop op-erations are then performed where possible, the tree is prunedand identical nodes are joined so that the number stays constantor decreases. ... Error bars indicate 99% con-fidence intervals. This demonstrates the competitiveness of the -
POLICY COMMITTEE FOR ADAPTATION IN MULTI-DOMAIN SPOKEN…
mi.eng.cam.ac.uk/~sjy/papers/gmsv15.pdf20 Feb 2018: 5]. Here, we address the problem ofdecision-making. Moving from a limited domain dialogue system that op-erates on a relatively modest ontology to an open domain. ... 5. EXPERIMENTAL SET-UP. In order to examine the ability of the proposed method to -
crosseval_diff-reward2b.ps
mi.eng.cam.ac.uk/~sjy/papers/kgjm10.pdf20 Feb 2018: The op-tions for each random decision point are reason-able in the context in which it is encountered, buta uniform distribution of outcomes might not re-flect real user behaviour. ... Many of the decisions involvedare deterministic, allowing only one -
Part IB GEOMETRY (Lent 2018): Example Sheet 3…
https://www.dpmms.cam.ac.uk/study/IB/Geometry/2017-2018/geom-sheet3.pdf1 Mar 2018: OP , where O denotes the origin. 3. Show the stereographic projection map π : S {N} C, where N denotes the northpole, defines a chart. -
J. Phys. A: Math. Gen. 25 (1992) 3295-3302. Printed ...
www.damtp.cam.ac.uk/user/ms100/PAPERS/JPhysA.pdf13 Dec 2018: op- erator A - l. -
Sample-efficient Actor-Critic Reinforcement Learningwith Supervised…
mi.eng.cam.ac.uk/~sjy/papers/sbug17.pdf20 Feb 2018: A comparison between the three op-tions is included in the experimental evaluation. ... whilst suffering initially.We hypothesise that the optimised SL pre-trainedparameters distributed very differently to the op-timal A2C ER parameters. -
Recovery of a Variable Coefficient in a Coastal Evolution Equation
www.damtp.cam.ac.uk/user/ms100/PAPERS/JCP99.pdf13 Dec 2018: but (10) will be more convenient for us because explicitly it involves only second as op-posed to fourth order derivatives inx.) The above will be applied below to the recovery -
The Effect of Cognitive Load on a Statistical Dialogue ...
mi.eng.cam.ac.uk/~sjy/papers/gtht12.pdf20 Feb 2018: 4.4 Conversational patterns. Given that the subjects felt the change of cognitiveload when they were talking to the system and op-erating the car simulator at the same time, we -
Sound propagation in an irregular two-dimensional waveguideMark…
www.damtp.cam.ac.uk/user/ms100/PAPERS/JASA97.pdf13 Dec 2018: operator’’M,whose entries are themselves 232 matrices; this matrix op-erator is lower triangular, and can therefore be inverted eciently. -
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mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1994-BMVC-Lawn.pdf13 Mar 2018: "!# $%& %'()#,&-##)./10324 56&-786&9: ;#<: =;#: >?@-<;A66"B9: ;#<: =;#: >? C<DFEGHIJBGKMLONQPLSRLTU(VQLP LXWZYQ[&R]ARR[&T_T_UVALO]QRLOBaNFLPSL=NQU ]bWBcdP ]QNA[eTAdfUf[&ghNQPBiLRU P]QSU]QP LjWBTQYhLdghU[&ThPLBiLP kXWlc&dP -
Learning Domain-Independent Dialogue Policies via…
mi.eng.cam.ac.uk/~sjy/papers/wsws15.pdf20 Feb 2018: The ex-perimental results show that the policy op-timised in a restaurant search domain us-ing our domain-independent representa-tions can be deployed to a laptop sale do-main, -
Recent Progress in Log-Concave Density Estimation
www.statslab.cam.ac.uk/~rjs57/STS666.pdf29 Nov 2018: We mention that in thecase d = 1, Doss and Wellner (2016b) proved thatd2H(f̂n, f0) = Op(n4/5) for each fixed f0 F1, andindeed showed that the same rate holds for ... Then. supx0I. f̂n(x0) f0(x0) = Op((. log n. n. )β/(2β1)). Here the log-concave MLE -
Analysis II Michaelmas 2017 Example Sheet 4 1. (a) ...
https://www.dpmms.cam.ac.uk/study/IB/AnalysisII/2017-2018/AnalysisII_2017_Ex4.pdf19 Jan 2018: 10. Let f : Rn Rn be a C1 map. Suppose that there is some constant µ < 1 such that‖Df|x I‖op < µ for all x Rn. -
Learning a Kinematic Priorfor Tr ee-Based Filterin g A. ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2003-BMVC-Thayananthan-priors.pdf13 Mar 2018: PQ. RRSST>TU>U VWX>XY>YZ>Z[] >_ >abc. d>defg hi jk. l>lm. n>no>op>pq. rs ttuu. -
Selwyn College Chapel – Music for Choral Services Michaelmas Term 2007
https://www.sel.cam.ac.uk/sites/default/files/assets/chapel/music-list-MT2018.pdf27 Sep 2018: VOLUNTARY Fugue in G major (Op. 37 no. 2 (i)) – Mendelssohn 331 – Eventide. -
Incremental on-line adaptation of POMDP-based dialogue managers…
mi.eng.cam.ac.uk/~sjy/papers/gktb14.pdf20 Feb 2018: the Q-function estimatewe expect during the process of learning and H is a linear op-erator that captures the reward lookahead from the Q-function(see Eq. -
./plot_entropy.eps
mi.eng.cam.ac.uk/~ar527/chen_is2017.pdf15 Jun 2018: In standard systems this issue would be addressed by op-timising the language model scale factor. -
Graphene Reflectarray Metasurface for Terahertz Beam Steering and…
www-g.eng.cam.ac.uk/nms/publications/pdf/Tamagone2018.pdf8 Jun 2018: The op-timized bias line width is 2 µm, so that its inductanceper unit length is sufficient to reduce its effect on thestructure. -
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mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1994-BMVC-Lawn.pdf13 Mar 2018: "!# $%& %'()#,&-##)./10324 56&-786&9: ;#<: =;#: >?@-<;A66"B9: ;#<: =;#: >? C<DFEGHIJBGKMLONQPLSRLTU(VQLP LXWZYQ[&R]ARR[&T_T_UVALO]QRLOBaNFLPSL=NQU ]bWBcdP ]QNA[eTAdfUf[&ghNQPBiLRU P]QSU]QP LjWBTQYhLdghU[&ThPLBiLP kXWlc&dP -
paper.dvi
mi.eng.cam.ac.uk/~ar527/ragni_is2018a.pdf15 Jun 2018: As described in Section 4 interpolation weights can be op-timised alternatively by maximising the average mapped con-fidence score on the VWB data. -
pgs2e-draft.dvi
www.statslab.cam.ac.uk/~grg/books/pgs2e-draft.pdf4 Jan 2018: copy. right. Geo. ffre. y G. rimm. ett. Probability on Graphs. Random Processes. on Graphs and LatticesSecond Edition, 2018. GEOFFREY GRIMMETT. Statistical LaboratoryUniversity of Cambridge. copy. right. Geo. ffre. y G. rimm. ettGeoffrey Grimmett. -
Learning a Kinematic Priorfor Tr ee-Based Filterin g A. ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2003-BMVC-Thayananthan-priors.pdf13 Mar 2018: PQ. RRSST>TU>U VWX>XY>YZ>Z[] >_ >abc. d>defg hi jk. l>lm. n>no>op>pq. rs ttuu. -
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation.pdf13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function. -
Training a real-world POMDP-based Dialogue System Blaise Thomson,…
mi.eng.cam.ac.uk/~sjy/papers/tswy07.pdf20 Feb 2018: Hence defining an op-timal summary policy is not so obvious. If f is chosenwell, however, then one could hope that the optimal ac-tion is dependent only on f (b). -
paper.dvi
mi.eng.cam.ac.uk/~sjy/papers/youn06.pdf20 Feb 2018: However,approx-imate solutions can still provide useful policies. The simplest ap-proach is to discretise belief space and then use standard MDP op-timisation methods [6]. -
AAAI Proceedings Template
mi.eng.cam.ac.uk/~sjy/papers/wipy05b.pdf20 Feb 2018: S. sn. nsbsb. 1. )()(maxargˆ)( υππ (16). Thus the value-function method provides both a parti-tioning of belief space into regions corresponding to op-timal actions as well as the -
POMDP-based dialogue manager adaptation to extended domains M.…
mi.eng.cam.ac.uk/~sjy/papers/gbhk13a.pdf20 Feb 2018: Thisprovides increased robustness to errors in speechunderstanding and automatic dialogue policy op-timisation via reinforcement learning (Roy et al.,2000; Zhang et al., 2001; Williams and Young,2007; Young et al., -
MVA'94 IAPR Workshop on Machine Vision Applications Dec. 13-15,…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1994-MVA-pointing.pdf13 Mar 2018: Performance. By observing feedback from the robot, the op- erator is able to position the gripper to within lcm: sufficient accuracy to instruct it to pick up n small wootlcn Ilock -
On-line Active Reward Learning for Policy Optimisationin Spoken…
mi.eng.cam.ac.uk/~sjy/papers/sgmb16.pdf20 Feb 2018: This Gaussian process op-erates on a continuous space dialogue rep-resentation generated in an unsupervisedfashion using a recurrent neural networkencoder-decoder. -
Personal Profiles | Cambridge CARES
https://www.cares.cam.ac.uk/personal-profiles/?category=Past%20Members&?category=Past+Members&offset=9&profile_id=34518 Oct 2018: Research Interest. Key Publications. Achievements. - Runner-up for UT Co-op George H. -
PII: S0167-6393(99)00044-8
mi.eng.cam.ac.uk/~sjy/papers/wiyo00.pdf20 Feb 2018: NFp;. 2where Q is the set of all phone models and NF(p)the number of frames in the acoustic segment Op. ... Hence, the denominator score is de-termined by simply summing the log likelihood perframe over the duration of Op. -
Contact Details Address Grange Road, Cambridge, CB3 9DQ Tel. ...
https://www.sel.cam.ac.uk/sites/default/files/assets/current/UGHandbook/Accessibility%20Statement.pdf21 Sep 2018: There is a pub, Co-op store, butcher, grocer and chemist and Post Office in nearby Newnham. -
Semantically Conditioned LSTM-based Natural Language Generation…
mi.eng.cam.ac.uk/~sjy/papers/wgms15.pdf20 Feb 2018: Recent workby Graves et al. (2014) has demonstrated that anNN structure augmented with a carefully designedmemory block and differentiable read/write op-erations can learn to mimic computer programs.Moreover, the -
Multi-view Stereo via Volumetric Graph-cuts G. Vogiatzis1 P. H. ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-CVPR-Vogiatzis-multi-view.pdf13 Mar 2018: The reconstructed surface is obtained by solving the op-timisation. Smin = arg minSC. ... Ourmethod has no concept of a current surface during the op-timisation phase, and therefore has to make the visibilityassumption of section 3. -
A Network-based End-to-End Trainable Task-oriented Dialogue System…
mi.eng.cam.ac.uk/~sjy/papers/wgmv17.pdf20 Feb 2018: On-line active reward learning for policy op-timisation in spoken dialogue systems. -
An attention based model for off-topic spontaneous spoken response ...
mi.eng.cam.ac.uk/~ar527/malinin_slate2017.pdf15 Jun 2018: Online]. Available: http://tensorflow.org/. [28] D. P. Kingma and J. Ba, “Adam: A Method for Stochastic Op-timization,” in Proc. -
Int J Comput Vis (2012) 100:203–215DOI 10.1007/s11263-011-0461-z…
mi.eng.cam.ac.uk/~cipolla/publications/article/2012-IJCV-Shallow-trees.pdf13 Mar 2018: path-length. to train data i.e. good generalisation, however, it is not op-timal in classification time. ... 2008). Random kitchen sinks: replacing op-timization with randomization in learning. In Proc.
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