### Table 25: comparison between discrete and continuous mode

"... In PAGE 10: ...able 24: Interpolation methods accuracy assessment summary.........................................................71 Table25 : Comparison between discrete and continuous mode .... In PAGE 85: ... The decision to select which is more suitable is depending on the availability of inputs and the objective of the survey. Table25 compares the advantages and disadvantages of the two models. 2.... ..."

### Table 3 Comparison of the Discrete and Continuous Estimator Algorithms

1992

"... In PAGE 34: ...xceeded 0.99. If the automaton converged to the best action ( i.e., the one with the highest probability of being rewarded), it was said to have converged accurately. Table3 summarizes the comparison of Discrete and Continuous Estimator algorithms in a 10 action environment. These environments were the same ones used to compare the continuous estimator algorithms to the L RI scheme [28].... ..."

Cited by 8

### Table 1: Some popular conditional probability distributions. If a node has both discrete and continuous parents, we can create a mixture distribution.

1999

"... In PAGE 1: ... We finish by discussing future work. 2 CPDs for hybrid networks For any directed graphical model, we must define the con- ditional distribution of each node given its parents: see Table1 for some examples. For discrete nodes with discrete parents, the simplest rep- resentation is a table (called a Conditional Probability Ta- ble, or CPT), which defines Pr(R = ijQ = j) def = ij.... ..."

Cited by 33

### Table 1: Some popular conditional probability distributions. If a node has both discrete and continuous parents, we can create a mixture distribution.

1999

"... In PAGE 1: ... In Section 6, we explain our varia- tional approximation, in Section 7 we introduce our new approach to handling evidence, in Section 8 we discuss the computational complexity of inference in hybrid BNs, and in Section 9, we present some experimental results to assess the quality of our approximation. 2 CPDs for hybrid networks For any directed graphical model, we must define the con- ditional distribution of each node given its parents: see Table1 for some examples. For discrete nodes with discrete parents, the simplest rep- resentation is a table (called a Conditional Probability Ta- ble, or CPT), which defines Pr(R = ijQ = j) def = ij.... ..."

Cited by 33

### Table 1. Results of the experiments on the NCI Anti-HIV screening dataset

### Table 3: Basic properties of Discrete and Continuous Curvature Space

"... In PAGE 21: ...he area of the facet. Thus, small areas move fast, while large areas nearly do not move. When one accepts that the movement depends on the area of the facets, it is possible to de ne a more or less \continuous quot; version of the curvature space, where there is no threshold needed any more. Table3 presents basic properties of the \discrete quot; and the so-called \continuous curvature space quot; in 3D. Figure 29 shows how the facets move in the continuous curvature space.... In PAGE 21: ...urvature space quot; in 3D. Figure 29 shows how the facets move in the continuous curvature space. As no thresholding is done, there is no clearcut decision any more how to move the facets for steps. But as Table3 shows, by using a weighting function which is, e.g.... ..."