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Table 5. Random forests performance on fresh data sets.
"... In PAGE 10: ...03 yeast 1484 10 8 8 0 0 We compare the performance of plain random forests with random forests with one or both of successful improvements: several attribute evaluation heuristics and voting weighted with the average margin on similar instances. The accuracy and AUC figures collected in Table5 are calculated with 10-fold cross validation. We can observe similar effects as before.... ..."
Table 1: Some relations that can be expressed as DSRs. E and F denote fresh set variables.
"... In PAGE 7: ... 2 From the relations , disj and 6 =, several other set relations can be con- structed. Table1... ..."
Table 1: Some relations that can be expressed as DSRs. E and F denote fresh set variables.
1998
"... In PAGE 5: ... 2 From the relations , disj and 6 =, several other set relations can be constructed. Table1 contains a few examples. 3 The Atomic Case The rst reasoning problem that we will study is AtomDSRSat?: Instance: A nite set ? of atomic DSRs.... ..."
Cited by 2
Table 1. The set of attributes used to summarize the points-to graph and the read and write sets. The attributes Fresh and Escape also are allowed on the return value of the method since we model that as an extra (out) parameter. In C#, attributes on return values are specified at the method level with an explicit target, e.g., [return:Fresh].
"... In PAGE 4: ... 3. Annotations Table1 summarizes our annotation language. The annotations pro- vide concise information about points-to and effect information and allows us to mitigate the effect of non-analyzable calls.... ..."
Table 1. The set of attributes used to summarize the points-to graph and the read and write sets. The attributes Fresh and Escape also are allowed on the return value of the method since we model that as an extra (out) parameter. In C#, attributes on return values are specified at the method level with an explicit target, e.g., [return:Fresh].
"... In PAGE 4: ... 3. Annotations Table1 summarizes our annotation language. The annotations pro- vide concise information about points-to and effect information and allows us to mitigate the effect of non-analyzable calls.... ..."
Table 1: Freshness rates when requests are directed to (i) a cache or (ii) origin servers.
2001
"... In PAGE 7: ... (content or freshness) miss as TTL = T ? (time ? log start time) mod T : For requests labeled as CLIENT REFRESH in the trace (arriving with no-cache request header), we set the TTL to T in order to sim- ulate a situation where misses are forwarded to the origin server. The respective freshness rates in the two scenarios are listed in Table1 , and show that the overall age penalty of going through higher-level caches amounts to 20%-25% de- crease in freshness hits. The logs UC0.... ..."
Cited by 12
Table 1: Freshness rates when requests are directed to (i) a cache or (ii) origin servers.
"... In PAGE 7: ... (content or freshness) miss as TTL = T ? (time ? log start time) mod T : For requests labeled as CLIENT REFRESH in the trace (arriving with no-cache request header), we set the TTL to T in order to sim- ulate a situation where misses are forwarded to the origin server. The respective freshness rates in the two scenarios are listed in Table1 , and show that the overall age penalty of going through higher-level caches amounts to 20%-25% de- crease in freshness hits. The logs UC0.... ..."
Table 1 Error in the mass of the water phase as a function of di erent re nement levels. The convergence to an equilibrium state in a closed box is far more challenging when we initially have heavy uid over light uid. In a closed box, as above, we start with the unstable equilibrium position, where salt water is on top of fresh water. The ratio of the viscosities equals unity, and 1.05 is the ratio of the densities. The permeability is constant, and the porosity was set to 0.2. A basic assumption is, of course, that salt and fresh water do not mix. That 15
"... In PAGE 15: ... In gure 4, we show a snapshot of the mesh from the beginning of the computa- tion, using four re nement levels. Table1 shows the convergence results, that is, the deviation between the expected and the computed steady water level. From these results we can conclude that the front computation method shows... ..."
Tables 2 and 3 show the best-move properties for Groups 4 and 6. While the results resemble the ones obtained by Steenhuisen (2005) on the 4,500 positions of the ECO test set in a sense that both Best- Change and Fresh-Best rates decrease consistently with increasing search depth, the rates nevertheless significantly differ for each of the two groups of positions.
Table 1. Parameters ^ S0, , and for observations of fresh snow evo- lution from Table III of Legagneux et al. [2004]
"... In PAGE 4: ... Legagneux et al. [2004] provide best- t parameters of Equation 16 for their measurements, which we reproduce in Table1 . We set ^ S0 and T to match the snow sam- ples.... ..."
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