Results 121 to 130 of about 136,861 (303)

Noninvasive Characterization of Tumor Heterogeneity in HNSCC: From Clinical Utility to Biological Correlates

Advanced Science, EarlyView.
This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen, Rui Liu, Yuan Zhou, Yin Xiao, Chengmin Feng, Lin Chen, Yanshi Li, Mengna Wang, Zhaobo Cheng, Yuxi Luo, Long Liu, Lijing Niu, Yue Xiang, Juan Peng, Guohua Hu, Min Pan   +15 more
wiley   +1 more source

A Perceptual Memory System for Affordance Learning in Humanoid Robots

, 2011
Kammer M, Tscherepanow M, Schack T, Nagai Y. A Perceptual Memory System for Affordance Learning in Humanoid Robots. In: Honkela T, Duch W, Girolami M, Kaski S, eds.
Nagai, Yukie, Honkela, Timo, Marko Tscherepanow, Tscherepanow, Marko, Duch, Wlodzislaw, Kaski, Samuel, Marc Kammer, Yukie Nagai, Thomas Schack, Kammer, Marc, Girolami, Mark, Schack, Thomas   +11 more
core   +1 more source

SSR4 sustains Tertiary Lymphoid Structures by Regulation Quality Control of N‐linked Glycosylation During B‐cell Differentiation Into Plasmacyte in Colorectal Cancer

Advanced Science, EarlyView.
SSR4, a TRAP component induced in B cells, governs BAFFR N‐glycosylation via DDOST to sustain NF‐κB signaling, B‐cell differentiation, and TLS maturation. Its loss impairs anti‐tumor immunity, while overexpression improves antibody glycosylation and ADCC, revealing a critical regulator for cancer immunotherapy.
Wei Zhao, Youcai Zhao, Haiyang Li, Bowen Yang, Siyan Lu, Xueting Fu, Caixia Zhang, Yirong Chen, Xiaofeng Bian, Xinghua Ma, Xiaobing Yang, Bin Wang, Yuan Fang, Lulu Yang, Yelin Zhao, Shuli Zhao   +15 more
wiley   +1 more source

Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning

, 2012
Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. They are used ubiquitously in computational linguistics.
Noah A. Smith, Smith, N. A., Shay B. Cohen, Cohen, S. B.   +3 more
core   +1 more source

Unsupervised visual learning is revealed for task-irrelevant natural scenes due to reduced attentional suppression effects in visual areas

Nature Communications
Unsupervised learning—learning through repeated exposure without instruction or reward—is central to both machine learning and human cognition, including language acquisition and statistical learning. However, its role in visual perceptual learning (VPL)
Takeo Watanabe, Yuka Sasaki, Takuro Zama, Julian R. Matthews, Daiki Ogawa, Kazuhisa Shibata   +5 more
doaj   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Unsupervised learning of low-level audio features for music similarity estimation

, 2011
While there is an enormous amount of music data available, the eld of music analysis almost exclusively uses manually designed features. In this work we learn features from music data in a completely unsupervised way and evaluate them on a musical ...
Osendorfer, Christian, Schlüter, Jan, Schmidhuber, Jürgen, van der Smagt, Patrick   +3 more
core  

stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics

Advanced Science, EarlyView.
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang, Yan Wang, Luonan Chen, Chunman Zuo   +3 more
wiley   +1 more source

Unsupervised syntactic chunking with acoustic cues: Computational models for prosodic bootstrapping

, 2011
Learning to group words into phrases without supervision is a hard task for NLP systems, but infants routinely accomplish it. We hypothesize that infants use acoustic cues to prosody, which NLP systems typically ignore.
Pate, John K., Goldwater, Sharon; id_orcid   +1 more
core  

Reconfigurable Selector‐Only Memory (SOM) for Scalable Neuromorphic Computing

Advanced Science, EarlyView.
ABSTRACT Highly scalable reconfigurable neuromorphic devices are critical for addressing continual‐learning challenges in artificial intelligence. However, the scalability of existing reconfigurable devices is severely constrained by limited operating margins and insufficient process maturity.
Jin‐Yu Wen, Chuan‐Qi Yi, Ya‐Ru Zhang, Bin‐Hao Wang, Zi‐Xuan Liu, Chun‐Yu Zhou, Hao Tong, Xiang‐Shui Miao   +7 more
wiley   +1 more source