Results 31 to 40 of about 472,930 (267)
Hypothesis Spaces for Deep Learning
This paper introduces a hypothesis space for deep learning based on deep neural networks (DNNs). By treating a DNN as a function of two variables - the input variable and the parameter variable - we consider the set of DNNs where the parameter variable belongs to a space of weight matrices and biases determined by a prescribed depth and layer widths ...
Rui Wang 0149, Yuesheng Xu, Mingsong Yan
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Soundwalking Deep Latent Spaces
This paper relates an early art-research collaboration between two practitioners in machine learning and virtual worlds toward new embodied musical experiences of Artificial Intelligence (AI). Instead of a digital music instrument or a music-generating agent, we propose to craft a soundwalk experience where a human person moves through a three ...
Scurto, Hugo, Postel, Ludmila
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6 pages, RecSys 2016 RSDL ...
Jeroen B. P. Vuurens +2 more
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Descent trajectory reconstruction and landing site positioning of Chang’E-4 on the lunar farside
The Chang’E-4 mission in January 2019 had the major challenge to land on the lunar far side without traditional radiometric techniques due to the missing line-of-sight.
Jianjun Liu +16 more
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Filtering of Magnetosonic Waves by Mesoscale Plasmaspheric Density Interfaces
Magnetosonic waves inside and outside the plasmasphere differ statistically in occurrence rate, frequency, and intensity. How the density interface separates magnetosonic waves inside and outside the plasmasphere remains not fully understood.
Zhiyong Wu +3 more
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ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar +7 more
wiley +1 more source
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei +17 more
wiley +1 more source
Classical Planning in Deep Latent Space
Current domain-independent, classical planners require symbolic models of the problem domain and instance as input, resulting in a knowledge acquisition bottleneck. Meanwhile, although deep learning has achieved significant success in many fields, the knowledge is encoded in a subsymbolic representation which is incompatible with symbolic systems such ...
Masataro Asai +3 more
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Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source
As a cost-effective and versatile solution, small satellites are increasingly being considered for space exploration. However, one of the major challenges in deploying small satellites for high total impulse missions, particularly deep space exploration,
Yubin Zhong +6 more
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