The above pipeline generated robust estimates of out-of-sample prediction performance that included significance testing. In order to directly compare predictive performance of normative deviations against raw
In the subsequent component, the learned edge matrix is given as input to an optimization algorithm . The algorithm considers the weights as unnormalized probabilities to sam- ple discretely a new adjacency matrix Z . Finally, the resulting sampled subgraph z is used in the last component,...
In the next time bin, the ensemble may either dwell in the current pattern or transition to a different pattern, with probabilities given by rows of the “transition matrix.” Stochastic transitions between patterns occur at random times according to an underlying Markov chain (i.e., transitions...
See Fig. 3 for a correlation matrix of all word properties examined. Results were rela- tively consistent between the analyses based on all available words and the 1,185 subset, as shown in Table 1. Some lexical dimensions also performed well in explaining recall, particularly word frequency,...
Panel B. Pearson's pairwise correlation matrix Empty CellReturnSTVBetaSizeMomRevIlliqLt_revVolIvolMaxMinPTVVolumeStdVolumeSkew1Skew2IskewCoskew STV −0.08 Beta 0.00 −0.03 Size −0.02 0.00 −0.04 Mom 0.00 0.19 −0.01 0.06 Rev −0.26 0.18 0.00 0.05 −0.23 Illiq 0.01 −0.01...
Voxel engines need to maximize their use of parallelism (both threading and SIMD) and also to store the data efficiently in an octree or some other structure that can handle sparse data. If you are doing all these things and still not getting the performance you expect, it's an ...
This approach makes sampling G and X a little more tricky because H affects the covariance structure of the conditional distributions. To deal with the algebra (specifically to get rid of the troublesome Hadamard product) I use some ideas from Tom Minka’s matrix algebra notes. Having had two...
Voxel engines need to maximize their use of parallelism (both threading and SIMD) and also to store the data efficiently in an octree or some other structure that can handle sparse data. If you are doing all these things and still not getting the performance you expect, it's an ...
Voxel engines need to maximize their use of parallelism (both threading and SIMD) and also to store the data efficiently in an octree or some other structure that can handle sparse data. If you are doing all these things and still not getting the performance you expect, it's an ...