We can directly consider only time complexity and space complexity directly and programming requirements differ from language to language. Space Complexity The complexity of an algorithm, i.e., a program is the amount of memory; it needs to run to completion.Some of the reasons for studying spac...
Space and time complexity of exact algorithms: some open problems. In Proc. 1st Int. Workshop on Parameterized and Exact Computation (IWPEC 2004), Springer-Verlag LNCS 3162, 281-290, 2004.Gerhard J. Woeginger. Space and time complexity of exact algorithms: some open problems. In Proc. Int...
Studies of reversible Turing machines (RTMs) often differ in their use of static resources such as the number of tapes, symbols and internal states. However, the interplay between such resources and computational complexity is not well-established for RT
Although, much work has been done to reduce the temporal and spatial complexity of these models (e.g. [1, 3]), few work attempted to increase their accuracy. Besides, several compression algorithms have been adapted for sequence predictions such as LZ78 [12] and Active Lezi [4]. Moreover...
Due to its hybrid nature, the proposed structure is still able to benefit from algorithms and techniques developed for static graphs. The proposed structure achieves a synergistic relationship between its sub-structures by successfully predicting efficient slicing across multiple dimensions. While these ...
In recent years, some researchers have combined these two algorithms and used the C-LSTM [18] model to solve anomaly detection tasks. This model can make up for the shortcomings of CNN and RNN models, so as to simultaneously extract the spatiotemporal information of time-series. It has bette...
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Part 2 - provides detailed coverage of turbo conventional and turbo block coding considering the known decoding algorithms and their performance over Gaussian as well as narrowband and wideband fading channels. Part 3 - comprehensively discusses both space-time block and space-time trellis coding for ...
According to studies by the Intergovernmental Panel on Climate Change (IPCC), tropical mountainous areas are experiencing increasingly unfavorable climatic
As a result, only the weights from the reservoir to the output layer need to be trained using a linear method, which simplifies the training process of the network and avoids the complex training algorithms and the tendency to fall into local minima [2] that are common in traditional neural...