### TABLE I THE BELIEF PROPAGATION-GUIDED DECIMATION ALGORITHM.

### Table 1. Stratified sampling message updating and belief computing algorithm

"... In PAGE 5: ... We adopt a stratified sampler similar to PAMPAS but in its sequential version. The stratified sampling propagation that consists of message updating and belief computation, detail is described in Table1 . Each message in BP is represented by a set of weighted particles, i.... In PAGE 8: ...337 Then following equations from (17-19), message propagation and belief computa- tion is described in Table1 . the sequential Monte Carlo belief propagation is shown in Table 2.... ..."

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### Table 2. Sequential stratified sampling for belief propagation

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### Table 2. Raising related beliefs

2001

"... In PAGE 7: ...e. exp(B)) can be tabulated in Table2 . Based on the maxi-adjustment algorithm, B+( ; i)( ) = i if B( ) i lt; degree(B; ! ).... ..."

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### Table I. Summary of results from #28Weiss and Freeman, 1999#29 regarding belief propagation after convergence.

2000

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### Table 1* Back Propagation Genetic Algorithm

1995

"... In PAGE 11: ... In each case network architecture is that of Figure 1. The parameters used in the training of the network are given in Table1 . Two measures of fit, namely the sum of squares deviation (Ssq.... In PAGE 17: ... Table1 . The parameter settings to run the neural network using both the back propagation and the genetic algorithms to run all three problems are given.... ..."

### Table 1: Algorithm for planning in low-dimensional belief space.

in Abstract

"... In PAGE 4: ... Our conversion algorithm is a variant of the Augmented MDP, or Coastal Navigation algorithm [9], using belief features instead of entropy. Table1 outlines the steps of this... ..."

### Table 4: Algorithm for belief expansion with random action selection

2006

"... In PAGE 16: ... In the case of Stochastic Simulation with Random Action (SSRA), the action selected for forward simulation is picked (uniformly) at random from the full action set. Table4 summarizes the belief expansion procedure for SSRA. First, a state s is drawn from the belief distribution b.... ..."

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### Table 4: Algorithm for belief expansion with random action selection

2006

"... In PAGE 16: ... In the case of Stochastic Simulation with Random Action (SSRA), the action selected for forward simulation is picked (uniformly) at random from the full action set. Table4 summarizes the belief expansion procedure for SSRA. First, a state s is drawn from the belief distribution b.... ..."

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### Table 1: Belief state structure for PSDG inference.

2000

"... In PAGE 6: ... Our specialized inference algorithms instead maintain a much smaller belief state that summa- rizes this probability distribution by exploiting the indepen- dence properties of the PSDG model and the restricted set of PSDG queries. Table1 lists the probability tables that form Bt, the belief state for time t, where Et represents all evidence (Qt 2 Rt) received through time t. The belief component, Bt T (`; q), represents a boolean random vari- able that is true if and only if the expansion of the symbol at level ` terminates at time t.... ..."

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