M.K. Pakhira, "A linear time-complexity k-means Algorithm using cluster shifting", in Proc. of International conference ICCICN-2014, pp. 1047 - 1051 .Pakhira MK. A Linear Time-Complexity k-Means Algorithm Using Cluster Shifting. In: 2014 International Conference on Computational Intelligence ...
Importantly for automation purposes, the propositional temporal logics we introduce in this chapter are all decidable, albeit of varying space and time complexity. The temporal logic L(𝒲, ◯) over the natural numbers in PSPACE-complete. Given a formula ϕ of L(𝒲, ◯...
One of the most important for the problem is that sometimes it is not so expensive to do the division, rather than using other techniques that might add more complexity to the code and the running time. Limited CPU structure(register cache, variable storage) is to blame. Table 1. Test ...
Condon, A.: The complexity of stochastic games. Inf. Comput. 96(2), 203–224 (1992) 6. Dole, K., Gupta, A., Komp, J., Krishna, S.N., Trivedi, A.: Event- triggered and time-triggered duration calculus for model-free reinforce- ment learning. In: 42nd IEEE Real-Time Systems ...
Some opcodes, like OP_LCALL can’t be decomposed so they are retained in the IR. This leads to some complexity since other parts of the JIT has to be prepared to deal with long vregs. Handling valuetypes Valuetypes are first class citizens in the IR, i.e. there are opcodes operating...
Here, we introduce the adoption of non-linear interactions at the few-photon level within the Boson Sampling framework as a route to increase the complexity and reduce the threshold for the quantum advantage regime. This possibility is encouraged by recent advances showing the first experimental demo...
Spliss multi-GPU means each process is offloading to a single GPU, which stays consistent throughout the entire runtime. This baseline is displayed as the gray set of bars in Fig.1, where the solid bar represents the runtime of the entire iteration phase and the shaded bar the time spent...
Linear regression also tends to work well on high-dimensional, sparse data sets lacking complexity.Machine Learning Studio (classic) supports a variety of regression models, in addition to linear regression. However, the term "regression" can be interpreted loosely, and some types of r...
The average dwell time (ADT) [23] switching is a type of limited switching signal, which means that the number of handovers is limited to a limited interval and the average time is not less than a constant. As we all know, the ADT scheme characterizes a larger variety of stable ...
Linear regression also tends to work well on high-dimensional, sparse data sets lacking complexity. Machine Learning Studio (classic) supports a variety of regression models, in addition to linear regression. However, the term "regression" can be interpreted loosely, and some types of regression ...