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Št. zadetkov: 5
ǂThe ǂrole of video-assisted thoracoscopic surgery in blunt and penetrating chest trauma
Akshay J. Patel, Matic Domjan, Haruchika Yamamoto
Pregledni znanstveni članek
Oznake: video-assisted thoracoscopic surgery;VATS;thoracic trauma;rib fixation;blunt trauma;penetrating trauma;
Video-assisted thoracoscopic surgery (VATS) has emerged as a valuable tool in the management of both blunt and penetrating chest trauma. Indications for VATS include retained haemothorax, persistent pneumothorax, and diagnostic clarification of suspected intrathoracic injuries. Compared to open thor ...
Leto: 2025 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Optimally Combining Classifiers Using Unlabeled Data
Akshay Balsubramani
Video in druga učna gradiva
Oznake: computer science;machine learning;active learning;computational learning theory;on-line learning;reinforcement learning;semi-supervised learning
We develop a worst-case analysis of aggregation of classifier ensembles for binary classification. The task of predicting to minimize error is formulated as a game played over a given set of unlabeled data (a transductive setting), where prior label information is encoded as constraints on the game. ...
Leto: 2015 Vir: videolectures.net
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals
Akshay Gadde
Video in druga učna gradiva
Oznake: computer science;data mining;knowledge extraction
We consider the problem of offline, pool-based active semi-supervised learning on graphs. This problem is important when the labeled data is scarce and expensive whereas unlabeled data is easily available. The data points are represented by the vertices of an undirected graph with the similarity bet ...
Leto: 2014 Vir: videolectures.net
Learning to Search Better than Your Teacher
Akshay Krishnamurthy
Video in druga učna gradiva
Oznake: computer science;machine learning
Methods for learning to search for structured prediction typically imitate a reference policy, with existing theoretical guarantees demonstrating low regret compared to that reference. This is unsatisfactory in many applications where the reference policy is suboptimal and the goal of learning is to ...
Leto: 2015 Vir: videolectures.net
23. Using Entropy to Distinguish Shape versus Text in Hand-Drawn Diagrams
Tracy Hammond , Akshay Bhat
Video in druga učna gradiva
Oznake: computer science;artificial intelligence
Most sketch recognition systems are accurate in recognizing either text or shape (graphic) ink strokes,but not both. Distinguishing between shape and text strokes is, therefore, a critical task in recognizing hand-drawn digital ink diagrams that contain text labels and annotations. We have found the ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 5
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