This chapter describes how the original version space approach (assuming strict consistency with data) is subsumed by the generalized approach, and in particular, how the candidate-elimination algorithm can be accomplished with incremental version-space merging. This serves as the first test of the ...
(2) Genetic algorithm (GA): 遗传算法将每个 tuning 参数看成基因,然后将每个 configuration 看成 candidate。新的 candidate 由交叉遗传、突变和选择根据适应度(fitness value)产生。这种算法其实是一种受自然选择现象启发而设计出来的元启发式算法(metaheuristic)。最终,最优的 candidate 被生成出来。TC 采用了这种...
Recently, soft-NMS [11] proposed an improved NMS, which reduces the score of the adjacent candidate box by adding a penalty rather than discarding the candidate box whose score is lower than the threshold. The algorithm is satisfactory in improving AP, but there are still candidates with high...
We built drug response models using three different ML methods: (1) a variant of the linear support vector machine recursive feature elimination (SVM-RFE) algorithm15 that we developed, (2) logistic regression (LGR) with elastic net16 (L1 + L2) penalties and embedded feature selection, ...
The first phase: Input Registration, using the recommended dynamic anonymity set algorithm at low liquidity could take hours or days. At medium liquidity it will average three minutes, at high liquidity it will run within a few seconds.
We used a ADMIXTURE24, an implementation of an approach similar to well-known STRUCTURE77. Based on an expectation–maximization algorithm, ADMIXTURE uses a maximum likelihood-based approach to assign ancestry genome wide and visualize the genetic structure of theT. cacaopopulations. A cross-validatio...
The training of the network was conducted with the backpropagation algorithm based on 21 MCDA methods (among which ELECTRE, PROMETHEE, TOPSIS, AHP) that exactly matched the characteristics and tested on a series of decision making problems to check its success rate. The units (neurons) in the ...
In this way, those attributes that discern more pairs of objects confused by the current candidate, are added first. This strategy reduces the search space; however, computing the attribute significance has a high computational cost. In this work, we introduce a new algorithm, called MinReduct,...
The algorithm is simple to code, if the candidate understands it. Additionally, there are various ways of disguising it, such as proposing an array of positive numbers, and asking for the subarray with the largest product. There is a second answer as well. The algorithm is an application of...
New vaccinia virus promoter as a potential candidate for future vaccines. J. Gen. Virol. 2013, 94, 2771–2776. [Google Scholar] [CrossRef] [PubMed] Hansen, H.; Okeke, M.I.; Nilssen, O.; Traavik, T. Recombinant viruses obtained from co-infection in vitro with a live vaccinia-...