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13 Feb 2023: The probabil-ity of the data under the alternative hypothesis is thensimply p(Dk|Hk2 ) = p(Di|Ti)p(Dj|Tj). ... So forTk(1) we have (analogously with equation (7)):. p(Dk|Tk(1)) = p(Dj(1)|Tj(1))p(Dkll |Tkll ) (10).

27 Jan 2023: for j = i 1 to n. if sj {s<j} thenu(c) = u(c) wsj (tj )elseu(c) = u(c) α.

13 Feb 2023: Scalable Inference for StructuredGaussian Process Models. Yunus Saatçi. St. Edmund’s College. University of Cambridge. This dissertation is submitted for the degree of. Doctor of Philosophy. December 15, 2011. Preface. This thesis contributes to

13 Feb 2023: population j by Tj. The role of these parameters is to take into account the difference. ... eters δk. For simplicity of inference, we transform the variables such that rt and Tj are combined.

27 Jan 2023: H. k2 ) = p(Di|Ti)p(Dj|Tj ) where the probability of a data set under. ... 3)Merge Dk Di Dj , Tk (Ti, Tj )Delete Di and Dj , c c 1.

27 Jan 2023: where rj = φjC1j φ. Tj , uj = φjC. 1j mo, and Cj =. Λ1 m6=j φ. Tmφm. Here φj and φm are j. th and mth.

13 Feb 2023: where rj = φjC1j φ. Tj , uj = φjC. 1j mo, and Cj =. Λ1 m6=j φ. Tmφm. Here φj and φm are j. th and mth.

13 Feb 2023: Let c(a, b) denote the cost of a match/mismatch (a = si, b = tj ) or of a gap (either a =“ ”or b =“ ”). We parameterise the costs with γ and µ