Results 31 to 40 of about 314,651 (266)
Landscape and Taxonomy of Online Parser-Supported Log Anomaly Detection Methods
IEEE AccessAs production system estates become larger and more complex, ensuring stability through traditional monitoring approaches becomes more challenging. Rule-based monitoring is common in industrial settings, but it has limitations.
Scott Lupton +3 more
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Randomized Competitive Analysis for Two Server Problems
Algorithms, 2008 We prove that there exists a randomized online algorithm for the 2-server 3-point problem whose expected competitive ratio is at most 1.5897. This is the first nontrivial upper bound for randomized k-server algorithms in a general metric space whose ...
Jun Kawahara, Kazuo Iwama, Wolfgang Bein
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Online Algorithms with Multiple Predictions
CoRR, 2022 This paper studies online algorithms augmented with multiple machine-learned predictions. While online algorithms augmented with a single prediction have been extensively studied in recent years, the literature for the multiple predictions setting is sparse.
Keerti Anand +3 more
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EURO Journal on Computational Optimization, 2015 In a k-min search problem, a player wants to buy k units of an asset with the objective of minimizing the total buying cost. At each time period t, a price qt is observed, and the player has to decide on the number of units to buy without any knowledge ...
Javeria Iqbal, Iftikhar Ahmad
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The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
Etnoantropološki Problemi, 2022 Recommender algorithms shape societies by individually exposing online users to everything they see, hear and feel in real time. We examine the development of recommender algorithms from the Page Rank and advertising platforms to social media trending ...
Ljubiša Bojić +2 more
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An online algorithm for constrained POMDPs [PDF]
2010 IEEE International Conference on Robotics and Automation, 2010 This work seeks to address the problem of planning in the presence of uncertainty and constraints. Such problems arise in many situations, including the basis of this work, which involves planning for a team of first responders (both humans and robots) operating in an urban environment.
Aditya Undurti, Jonathan P. How
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Online Learning Approaches in Maximizing Weighted Throughput in an Unreliable Channel
Tsinghua Science and Technology, 2012 We design online algorithms to schedule unit-length packets with values and deadlines through an unreliable communication channel. In this model, time is discrete. Packets arrive over time; each packet has a non-negative value and an integer deadline. In
Zhi Zhang, Fei Li
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Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Minimizing Query Frequency to Bound Congestion Potential for Moving Entities at a Fixed Target Time
AlgorithmsConsider a collection of entities moving continuously with bounded speed, but otherwise unpredictably, in some low-dimensional space. Two such entities encroach upon one another at a fixed time if their separation is less than some specified threshold ...
William Evans, David Kirkpatrick
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Molecular Oncology, EarlyView.CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak +10 more
wiley +1 more source