### Table 1: Fit of the Bayesian Networks discovered using the incremental approach for the three di erent samples.

1999

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### Table 1: Fit of the Bayesian Networks discovered using the incremental approach for the three di erent samples.

1999

Cited by 1

### Table 1 lists the steps in the mixture simulation approach alongside major steps in conventional Bayesian inference.

### Table 1. Package Alternatives

"... In PAGE 3: ... 5 Results We present results for a number of examples to demonstrate the validity of our behavioral partitionn2d ing approach for multicomponent synthesis and hierarn2d chical package design. Details of a few packages from our library is shown in Table1 . Table 2 presents den2d tails of the number of lines of code in behavior level vhdlspecin0ccation and the number of processes for each... In PAGE 4: ... 5.1 Multicomponent Synthesis and Hin2d erarchical Package Design Tables 3 and 4 present results of multicomponent synn2d thesis and hierarchical package design for the design examples in Table 2 with the package library shown in Table1 . For the smaller examples n28Move Mc n2d dyn2n29n2c Table 3 presents the mapping of segments to packages at three levels of design hierarchy.... ..."

### Table 1. Steps in Mixture Simulation and Conventional Bayesian Inference

"... In PAGE 3: ... Generate an observation, x2, from the posterior. Table1 lists the steps in the mixture simulation approach alongside major steps... ..."

### Table 2: Generalization accuracies and bit rates for fully Bayesian method

2003

"... In PAGE 5: ...airings of the study reported in section 2.1. We compare the generalization accuracies of the fully probabilistic model (full Bayes) with those of a classi- cal approach that does feature extraction separately. Table2 also shows in brackets the probabilities of the null hypothesis that the result of one method are equal to the method in the previous column. We may thus conclude that a fully Bayesian approach significantly outperforms classifications obtained when conditioning on feature estimates.... ..."

### Table 3: Bayesian. 14-node topology. Good prior.

"... In PAGE 6: ...06 0.85 Table 2: LP Approach for 14-node Topology The results of applying the Bayesian inference technique to es- timate traffic demands on our POP-to-POP topology are given in Table3 . Since this method assumes the OD pairs are distributed according to a Poisson distribution, we would expect the method to perform best when this assumption holds, i.... ..."

### Table 3: Bayesian. 14-node topology. Good prior.

"... In PAGE 6: ...06 0.85 Table 2: LP Approach for 14-node Topology The results of applying the Bayesian inference technique to es- timate traffic demands on our POP-to-POP topology are given in Table3 . Since this method assumes the OD pairs are distributed according to a Poisson distribution, we would expect the method to perform best when this assumption holds, i.... ..."

### Table 6: Ranking of alternatives for criteria

"... In PAGE 11: ...4875 0.4863 After getting the ranking order of three alternatives, suppose DM introduces another alternative 4 A for ranking with above alternatives whose experts opinion for criteria 1 C and 2 C are given in Table6 and Table 7, respectively. Membership function of alternative 4 A , by pool-first approach, is () () () ()() { } () () ()() {} 4 12 2 2 22 12 2 2 1 74006 2 1906 1 74006 2 1906 3 8 1906 3 8 1906 1 74006 3 8 1 1906 1 74006 3 8 1250 2 175 9 3 2 175 2 1250 2 175 2 1250 9 3 1250 1250 2175 93 93 / w / .... ..."

### Table 1: Alternative Splicing Statistics

2004

"... In PAGE 6: ... We found that human ESTs can identify 84% of RefSeq splices, whereas mouse EST and mRNA combined can identify 82% of them, indicating that mouse transcripts are very informative about constitutive splicing in human genes. A similar trend is observed for detecting constitutive splicing of mouse genes using human transcripts ( Table1 A). We sought to determine how well the cross-species approach predicts splice variants.... In PAGE 6: ... A test set consisting of 8,786 known alternative splices in human genes was derived from human mRNA. As shown in Table1 B, when compared with splice patterns from human EST data, only 40% of the known alternative splices could be identified. Lower sensitivity for detecting alternative splices indicates the difficulty of capturing splice variants that are often expressed at low levels or under specific conditions.... ..."

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