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The Rendezvous Algorithm: Multiclass Semi-Supervised Learningwith…
https://mlg.eng.cam.ac.uk/pub/pdf/Azr07.pdf13 Feb 2023: Low Density Separation (Chapelle. Appearing in Proceedings of the 24 th International Confer-ence on Machine Learning, Corvallis, OR, 2007. ... 42.72 13.49 4.95 3.79 9.68 21.99 35.17 24.38Data dep. -
SMEM Algorithm for Mixture Models
https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha98a.pdf13 Feb 2023: initiall value EM DAEM. mean -159.1 -148.2 -147.9 Training std 1.n 0.24 0.04 data. -
paperftp.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/modul.pdf27 Jan 2023: As in previous studies of the visuomo-tor system [23, 24, 25], the internal structure of thesystem can be probed by investigating the generaliza-tion properties in response to novel inputs, ... Constraints on learning new mappingsbetween perceptual -
Dirichlet Process Mixture Models for Verb Clustering Andreas Vlachos…
https://mlg.eng.cam.ac.uk/pub/pdf/VlaGhaKor08.pdf13 Feb 2023: gauss 78.54% 50.22% 61.26%34 classes. vanilla 70.24% 78.94% 74.34%link34 100 73.19% 79.24& 76.10%. -
The Infinite Partially Observable Markov DecisionProcess Finale…
https://mlg.eng.cam.ac.uk/pub/pdf/Dos09b.pdf13 Feb 2023: 24, pp. 195–220, 2005. [14] T. Smith and R. Simmons, “Heuristic search value iteration for POMDPs,” inProc. ... 24] J. H. Robert, R. St-aubin, A. Hu, and C. Boutilier, “SPUDD: Stochastic planning using decisiondiagrams,” inUAI, pp. -
PROPAGATION OF UNCERTAINTY IN BAYESIAN KERNEL MODELS— APPLICATION TO…
https://mlg.eng.cam.ac.uk/pub/pdf/QuiGirLarRas03.pdf13 Feb 2023: Lij = ki(u)kj (u) |2Λ1S I|12 (24). exp[2(u xd)>Λ1(2Λ1 S1)1Λ1(u xd). ],. -
Time-Sensitive Dirichlet Process Mixture Models Xiaojin Zhu Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/papers/tdpmTR.pdf27 Jan 2023: w(t, c) =. i:ti<t,si=c. k(t ti) =. eλ(tti) (24). λw(t, c) =. i:ti<t,si=c. (t ti)eλ(tti) (25). We then take a -
LNCS 5342 - Outlier Robust Gaussian Process Classification
https://mlg.eng.cam.ac.uk/pub/pdf/KimGha08a.pdf13 Feb 2023: label-change rate(%) 0 5 10 15SVM error(%) 4.070.60 5.090.96 6.761.10 8.801.13GPC log-ev -24.40.6 -41.80.8 -51.81.1 ... MS-robust- log-ev -24.40.6 -41.00.7 -50.50.7 -58.60.8GPC error(%) 3.700.36 4.540.62 6.760.76 6.850.73. -
PILCO: A Model-Based and Data-Efficient Approach to Policy Search
https://mlg.eng.cam.ac.uk/pub/pdf/DeiRas11.pdf13 Feb 2023: Ext [c(xt)] =. c(xt)N. (xt |µt, Σt. )dxt , (24). t = 0,. ... 10)–(12), (24).7: Gradient-based policy improvement, see. Sec. 2.3: get dJπ(θ)/ dθ, Eqs. -
book
https://mlg.eng.cam.ac.uk/pub/pdf/PerGhaPon07.pdf13 Feb 2023: 1.23). subject to:. wt φt(xn, ynt) wt φt(xn, yt) Mynt,yt ξnt n, t, yt (1.24). ... We end up having a significant reduction in the number ofconstraints2 in our optimisation formulation for CGMs in (1.23)-(1.24).
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