Obsolescent 发表于 2025-3-21 17:17:54
书目名称Discovery Science影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0281040<br><br> <br><br>书目名称Discovery Science影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0281040<br><br> <br><br>书目名称Discovery Science网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0281040<br><br> <br><br>书目名称Discovery Science网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0281040<br><br> <br><br>书目名称Discovery Science被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0281040<br><br> <br><br>书目名称Discovery Science被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0281040<br><br> <br><br>书目名称Discovery Science年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0281040<br><br> <br><br>书目名称Discovery Science年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0281040<br><br> <br><br>书目名称Discovery Science读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0281040<br><br> <br><br>书目名称Discovery Science读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0281040<br><br> <br><br>Exploit 发表于 2025-3-21 23:17:01
A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Proe been adapted for this task, including k-Nearest Neighbours (k-NN) and decision trees. Following this line, we propose an adaptation of the naive Bayes classification algorithm for the label ranking problem. Our main idea lies in the use of similarity between the rankings to replace the concept of半身雕像 发表于 2025-3-22 02:39:35
Topology Preserving SOM with Transductive Confidence Machine,dimension reduction tool for mapping training samples from a high-dimensional input space onto a neuron grid. However, current SOM-based classifiers can not provide degrees of classification reliability for new unlabeled samples so that they are difficult to be used in risk-sensitive applications whInvertebrate 发表于 2025-3-22 06:40:31
An Artificial Experimenter for Enzymatic Response Characterisation, comparison to the size of the parameter spaces being investigated. New tools are required to assist scientists in the effective characterisation of such behaviours. By combining artificial intelligence techniques for active experiment selection, with a microfluidic experimentation platform that redHdl348 发表于 2025-3-22 12:12:27
Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining, of election results. Our inquiry is based on the 2009 German federal Bundestag election (restricted to the City of Cologne) and additional socio-economic information about Cologne’s polling districts. The task is to describe relations between socio-economic variables and the votes in order to summaECG769 发表于 2025-3-22 13:37:01
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Incremental Learning of Cellular Automata for Parallel Recognition of Formal Languages,rning of one-dimensional, bounded, one-way, cellular automata (OCAs) that recognize formal languages from positive and negative sample strings. The objectives of this work are to develop automatic synthesis of parallel systems and to contribute to the theory of real-time recognition by cellular autoHyperalgesia 发表于 2025-3-23 08:01:54
Sparse Substring Pattern Set Discovery Using Linear Programming Boosting,t margin optimization problem where each dimension corresponds to a substring pattern. Then we solve this problem by using LPBoost and an optimal substring discovery algorithm. Since the problem is a linear program, the resulting solution is likely to be sparse, which is useful for feature selection