### Table 4: Summary of the design of the agent using non-uniform instance-based function approximator for the double integrator.

"... In PAGE 29: ... adjusts accordingly so that the increased density of cases near the origin does not produce too much blending of their values. Table4 summarizes the agent apos;s design. Figures 19 and 20 show the average number of time steps and accumulated cost per trial respec- tively.... ..."

### Table 3 summarizes the agent apos;s design for the uniform and non-uniform con gurations.

"... In PAGE 30: ...Table3 : Summary of the design of the agents using the case-based function approximator for the double integrator. Factor Description Uniform Non-uniform Variables 3: position: p 2 [;11] velocity: v 2 [;11] acceleration: a 2 [;11] Case structure Number of actions: 6, equally spaced in [;11] Blending factor: =60% Distance functions Input space: Euclidean.... ..."

### Table 4: Summary of the design of the agent using non-uniform instance-based function approximator for the double integrator. Factor Description Variables

1998

"... In PAGE 31: ... Similarly, the smoothing parameter adjusts accordingly so that the increased density of cases near the origin does not produce too much blending of their values. Table4 summarizes the agent apos;s design. Figures 19 and 20 show the average number of time steps and accumulated cost per trial respectively.... ..."

Cited by 51

### Table2. Computational results of non-uniform traffic demand

1996

"... In PAGE 6: ...he second system tested has a non-uniform demand. It has 12 nodes and its reception capacity is 3. We generate 20 different traffic demands in the range of 2 - 6. Table2 is the computational results of our ... ..."

### Table 1: Comparison of Average Costs for Non-Uniform distribution

1996

"... In PAGE 23: ... During this period, if the system designer uses LU-PC instead of adaptive, the network load (in terms of number of messages) will increase by 12%. For the given call and mobility distribution (shown in Figure 14 and Figure 13), the total savings of adaptive over LU-PC is 4% and over LU-JU is 17% (as shown in Table1 ). Thus, the results show that a simple adaptive location management algorithm as shown in Figure 12 performs better than the static location management strategies for a wide range of call-mobility patterns.... ..."

Cited by 14

### Table 1: Comparison of Average Costs for Non-Uniform distribution

1996

"... In PAGE 23: ... During this period, if the system designer uses LU-PC instead of adaptive, the network load (in terms of number of messages) will increase by 12%. For the given call and mobility distribution (shown in Figure 14 and Figure 13), the total savings of adaptive over LU-PC is 4% and over LU-JU is 17% (as shown in Table1 ). Thus, the results show that a simple adaptive location management algorithm as shown in Figure 12 performs better than the static location management strategies for a wide range of call-mobility patterns.... ..."

Cited by 14

### Table 1. Comparison between Two-Stage and Three-Stage Linear Decompressors for Non-Uniform Specified Bit Distributions

"... In PAGE 6: ... Experimental Results To see how the encoding efficiency for the proposed 3-stage scheme varies with respect to different distributions of specified bits and different scan architectures, the first set of experiments was performed on randomly generated test cubes. The results are shown in Table1 . The number of channels from the tester, b, was 16.... ..."

### Table 6: Summary of the design of the agent using non-uniform CMAC for the function approximator for the pendulum swing up.

"... In PAGE 33: ... The learning algorithm and the free constants were the same as with the uniform CMAC. Table6 summarizes the agent apos;s design. Figure 24 and 25 show the average number of time steps and accumulated cost per trial across 36 replications.... ..."

### Table 3: Evaluation of measurement{based admission rule with non{uniform weights.

"... In PAGE 13: ... (A speed{up of the admission test is proposed in Section 3.) Table3 gives the average number of admitted streams, the loss probability and Me for di erent values of p. We see from the table that the average number of connections increases as p decreases.... ..."

### Table 2. The distribution of the data in non-uniformly

1992

"... In PAGE 22: ... Table2 shows the distribution of the data in the non-uniformly distributed #0Cles among 3 disks. Number of Data Distribution on Disks Records Number of Blocks Number of Blocks Number of Blocks in Files on Disk 1 on Disk 2 on Disk 3 1000 14 13 14 10000 138 138 137 15000 209 210 208 20000 279 279 279 Table 1.... In PAGE 22: ... Table 1 shows that the data in the uniformly distributed #0Cles is evenly distributed among disks. Table2 shows that the data in the non-uniformly distributed #0Cles is nearly equally distributed among disks even without using any rebalancing algorithm. Performance of range query processing.... ..."

Cited by 38