In this paper we propose to extract simple features from a graph and use them to eliminate candidate graphs from the database. The most powerful set of features and a decision tree useful for candidate elimination are found by means of the C4.5 algorithm, which was originally proposed for ...
Our results demonstrate that this approach achieves near-optimal sample and computational complexities, even in the presence of arbitrarily large outliers. Second, we introduce a principled quantization algorithm designed to significantly impr...
Thirdly, the integration of regularized regression and deep learning encounters the challenge of concurrent optimization of convex and nonconvex loss. A contrast-guided shrinkage algorithm is designed to utilize the nonconvex contrastive loss in the deep-learning-based contrastive scheme as guidance for ...
Finally, the BRWR algorithm on multilayer heterogeneous networks is used to predict disease genes implicated in the undiagnosed neonatal progeroid syndrome.近年来, 生物大分子之间物理和功能相互作用的识别是生物信息学中最活跃的研究领域之一[1]. 例如, 研究者所筛选出的多种生物体中蛋白质−蛋白质相互作用...
algorithmvotingvoterankchoicenetstandardcandidateballotcsharp-librarycondorcetranking-algorithmnetstandard20schulze-methodcondorcet-voting-algorithms UpdatedDec 14, 2018 C# Frontend development exercises that help in evaluating a candidate's approach, problem solving and skill-level. ...
Test for true technical abilities rather than interviewing skills or algorithm memorization. Gain visibility into candidates’ role-specific technical skillset and make informed hiring decisions. Java React TypeScript CSS Angular Vue.js HTML C# C++ Node.js Python More… Combine aptitude and soft skill...
Sparse representation has received a great deal of attention in the fields of machine learning and computer vision due to its state-of-the-art performance in various applications including object segmentation. The K-SVD algorithm (Aharon et al., 2006), which takes its name from K computations ...
SquarePegis both a shortlisting tool and service that does some of the upfront screening for you. The software uses a job matching algorithm that takes in hundreds of data points to find the top candidates specific to your company. The result is that SquarePeg sends a shortlist directly to...
The first machine learning scheme that we will develop in detail, the C4.5 algorithm, derives from the simple divide-and-conquer algorithm for producing decision trees that was described in Section 4.3. It needs to be extended in several ways before it is ready for use on real-world problems...
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier. Artif. Intell. Med. 98, 35–47 (2019). Article PubMed Google Scholar Costa, P. R., Acencio, M. L. & Lemke, N. A machine learning approach for genome-wide prediction of ...