This set of sensor will send data to nearest super node using shortest path algorithm. When this sensor is set in use, every sensor of this set dissipates some energy, and other sensors kept in idle sleep mode dissipate less energy. This greedy method decreases energy dissipation and ...
“greedy” algorithm that performs chimera filtering and OTU clustering simultaneously. All chloroplasts, mitochondria, and OTUs with total sequences of less than 20 were removed. The data was normalized by subsampling to the least number of reads in order to synchronize the sequencing depth across ...
Session clustering is performed with the agglomerative Information Bottleneck (aIB) algorithm, as well as with some other reference algorithms. The model is then used to classify new sessions to one of the profiles and to label the sessions as performed by bots or humans. An extensive ...
athe greedy search algorithm was used to select 贪婪的搜索算法用于选择 [translate] alube manifold on rear of turntable 润滑多头管在转盘后方 [translate] ashut lamp shut lamp [translate] a发票号01和02会在下个月支付 The receipt number 01 and 02 can in the next month payment [translate] a...
This is our third contribution: we give a formal boosting algorithm for the regularized exponential rado-loss which boost with any of the ridge, lasso, SLOPE, `1, or elastic net regularizer, using the same master routine for all. Because the regularized exponential rado-loss is the equivalent...
(iii) Operational taxonomic units (OTUs) were clustered with 97% similarity cutoff using UPARSE (version 7.1 http://drive5.com/uparse/) with a novel ‘greedy’ algorithm that performed chimera filtering and OTU clustering simultaneously. The taxonomy of each 16S rRNA gene sequence was analyzed ...
We present an advanced three-dimensional cell nuclei segmentation algorithm that is accurate and robust. Our approach combines local adaptive pre-processing with decomposition based on Lines-of-Sight (LoS) to separate apparently touching cell nuclei into approximately convex parts. We demonstrate the sup...
aThe algorithm can be viewed as a greedy algorithm for partitioningnsamples into kclusters so as to minimize anobjective function, which can be taken as the sum of the squared distances to the cluster centers, the sum of the squared error(SSE). We calculate the error of each data point (...
Humans explore to learn the structure of our environment. However, it remains unclear how consistent humans are in the exploration strategies we use and ho
We did this with the greedy Algorithm 2. From the set of still remaining runs \({\mathcal {A}}\), a subset \({\mathcal {O}}\) is selected such that the expected unbalance in the augmented design \({\mathcal {B}}\cup \{o\}\) is minimal. In this case, the unbalance of de...