Abstract: Outlier detection is an effective technique for identifying abnormal samples in complex data. Random walks effectively detect outliers by analyzing graph transition patterns. However, ...
Abstract: Reinforced random walks (RRWs), including vertex-reinforced random walks (VRRWs) and edge-reinforced reinforced random walks (ERRWs), model phenomena where transition probabilities evolve ...
1 Department of Computer Science, University of Arkansas at Little Rock, Little Rock, AR, United States 2 Emerging Analytics Center, University of Arkansas at Little Rock, Little Rock, AR, United ...
Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, ...
Everyone is different, and we all have our own unique quirks and idiosyncrasies that make us who we are. There are some of us, though, who get inordinately irked by things the vast majority don’t have ...
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Talk vs. Walk: Lead by Example, Not Just Words
Derik Fay stresses the importance of leading through action and not just empty promises. Welcome to Greenland, an economy reliant on subsidies and shrimp Why Elon Musk says saving for retirement will ...
Introduction: Quantifying the myelin sheath radius of myelinated axons in vivo is important for understanding, diagnosing, and monitoring various neurological disorders. Despite advancements in ...
Quantum walks offer a novel approach to solving complex problems that stump classical computers. From powerful algorithms that streamline database searches to enabling quantum simulations, this ...
ABSTRACT: In the 1980s with the financial crisis, the emergence of stock markets was far from being a fashionable phenomenon because it emanated from the demands of States who saw the establishment of ...
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