Welch, "Application of divide-and-conquer algorithm paradigm to improve the detection speed of high interaction client honeypots," March 2008.Application of divide-and-conquer algorithm paradigm to improve the
Divide and conquer algorithm: This type of algorithm will divide the main problem into sub-problems and then would solve them individually. Backtracking algorithm: This is a modified form of Brute Force in which we backtrack to the previous decision to obtain the desired goal. Randomized algorithm...
A novel algorithm for fast representation of a Pareto front with adaptive resolution: application to multi-objective optimization of a chemical reactorMulti-objective optimizationPareto front representationDivide and conquer strategyDynamic optimization
Based on the divide-and-conquer algorithm, Chen et al. [6] presented a parallel procedure for the near Delaunay triangulation of 2D points. The main challenge of the method was to merge isolated triangulated patches into one coherent piece. Nave et al. [7] proposed a parallel Delaunay ...
This fact permits us to develop a divide-and-conquer algorithm (Fig. 1c(ii)) that first automatically groups the mutations of the highest and similar frequencies into a cluster, then estimates parameters that best fit the data of the cluster. We then remove these detected mutations, and ...
The first method is a novel divide and conquer technique for parallelizing a large scale multivariate linear optimization problem, which is commonly solved using a sequential algorithm with the entire parameter space as the input. By partitioning the parameters and the associated computations, our ...
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made. Similar content2,205 Conquering the intolerable burde...
ML methods are from a subtype of Artificial Intelligence (AI) methods that learn from data to improve their accuracy without the need to be programmed again. ML is creating such a model that can find patterns by studying a set of training data and developing an algorithm without human involvem...
In this paper, we propose a flexible and generalized framework for selecting the most relevant sensors to the multi-target response and predicting the target response, referred to as the Fast-aware Multi-Target Response Prediction (FMTRP) approach in the spirit of divide-and-conquer. Specifically...
Our technique is mainly based on the causal graph of the heuristic miner, the RPST decomposition and the ILP process discovery algorithm. In this section we present the adaptations and improvements we made based on existing techniques to make the technique work. Implementation of RPSTHD This ...