Tabling itself comes at a cost: breadth first search has exponential (asymptotic) space complexity. In real terms this means that, for hard learning problems, where the proof tree built by Vanilla during Resolution grows too large, Prolog will run out of RAM for tabling. This can be ...
. The book certainly fulfils its claim to be suitable as a textbook for courses at both the undergraduate and graduate levels, as tutors can pick and choose from an abundanceof material at different levels of complexity." (Pieter Bastiaan Ober, Journal of Applied Statistics, Vol. 35 (2), ...
Each of techniques enables more capabilities, but at a cost of increased complexity.Use run-time state from within the expression treeThe simplest way to query dynamically is to reference the run-time state directly in the query via a closed-over variable, such as length in the followi...
Despite the expansion of explainability, this is an unexplored prospect within the time series domain. In this paper, we study the problem of altering the prediction of examples, through the alteration of examples themselves, such that the prediction of a tree ensemble is changed with minimal cost...
• We investigate the complexity of SAT(⋅) with partial clone theory. • We identify the computationally easiest NP-complete SAT(⋅) problem. • We study the time complexity of this problem and relate it to 1-in-3-SAT. • We relate the easiest SAT(⋅) problem to the exponen...
This technique is useful for other applications, because it decouples the shading complexity from the screen resolution: shading is performed only for each texel in the texture map, rather than for every pixel on the object. Many operations, such as convolutions, can be performed much more effic...
According to the documentation, intervaltree performs a temporal slice with a time complexity of O(rlogm), where r is the number of timestamps between the requested start and end time. It achieves this by performing multiple single point slices for every overlapping timestamp. This ...
Obviously, FDNet has no chance in having less GPU or time complexity than these two models under univariate forecasting though its forecasting accuracy is better. What is more, discussing input length selection is also meaningless owing to the same reasons. However, in this experiment, we prolong...
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expansion. Then, using the concept of the LHS equivalence classes defined in section R5, we derive in section R6 the conditions under which the PWA probability is factorable. In section R7, the derivation is extended to the probability of a given MSA. In section S8, some examples are given...