Results 71 to 80 of about 175,776 (260)

Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families

, 2013
We study online learning under logarithmic loss with regular parametric models. Hedayati and Bartlett (2012b) showed that a Bayesian prediction strategy with Jeffreys prior and sequential normalized maximum likelihood (SNML) coincide and are optimal if ...
Bartlett, Peter, Grunwald, Peter, Harremoes, Peter, Hedayati, Fares, Kotlowski, Wojciech   +4 more
core  

Information Aggregation in Exponential Family Markets

, 2014
We consider the design of prediction market mechanisms known as automated market makers. We show that we can design these mechanisms via the mold of \emph{exponential family distributions}, a popular and well-studied probability distribution template ...
Chen Yiling, Dhillon Inderjit S., Dhillon Inderjit S., Frongillo Abernethy, Frongillo Rafael M., Ostrovsky Michael, Philip Dawid A, Rafael, Storkey Amos J.   +8 more
core   +1 more source

PET Imaging of Cardiac Inflammation in Viral Myocarditis Using a DPP4‐Targeted Probe

Advanced Science, EarlyView.
This study describes a DPP4‐targeted PET probe for imaging myocardial inflammation by selectively targeting activated immune cells. Derived from the clinically approved small‐molecule inhibitor linagliptin, the probe demonstrates favorable biodistribution with specific cardiac uptake in myocarditis.
Wanhao Gao, Wenzhu Hu, Du Tang, Xinxin Liu, Kun Yu, Lixia Feng, Minyu Liao, Wang Lin, Wenqiang Zhu, Sanjay Rajagopalan, Xiaoli Lan, Jixin Zhong, Dao Wen Wang, Dawei Jiang, Xiaoquan Rao   +14 more
wiley   +1 more source

Inconsistency of Pitman-Yor process mixtures for the number of components [PDF]

, 2013
In many applications, a finite mixture is a natural model, but it can be difficult to choose an appropriate number of components. To circumvent this choice, investigators are increasingly turning to Dirichlet process mixtures (DPMs), and Pitman-Yor ...
Jeffrey W. Miller Jeffrey, Matthew T. Harrison Matthew, Whye Teh   +2 more
core   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source

Photon‐Sphere Modes in Curved Optical Microcavities: A Black‐Hole Analogue Laser

Advanced Science, EarlyView.
An optical analogue of a Schwarzschild black hole is realized using curved microcavities that preserve light‐like geodesics. A new family of laser modes confined around the photon sphere is identified alongside conventional whispering‐gallery modes. Analytical theory, numerical simulations, and experiments reveal curvature‐induced confinement, enabling
Chenni Xu, Aswathy Sundaresan, Nazire‐Begüm Kazkal, Clement Lafargue, Lior Zarfaty, Li‐Gang Wang, Ofek Birnholtz, Dominique Decanini, Melanie Lebental, Patrick Sebbah   +9 more
wiley   +1 more source

Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study

Journal of Medical Internet Research
BackgroundIntensive care research has predominantly relied on conventional methods like randomized controlled trials. However, the increasing popularity of open-access, free databases in the past decade has opened new avenues for ...
Yuhe Ke, Rui Yang, Nan Liu
doaj   +1 more source

DMAP1 Deficiency Suppresses Lung Cancer Progression by Destabilizing Replication Fork and Activating IFN Signaling‐Mediated Anti‐tumor Immunity

Advanced Science, EarlyView.
Lung cancer remains the leading cause of cancer‐related death. We investigated the role of the epigenetic regulator DMAP1 in NSCLC and found that its loss induces replication stress and DNA damage. This in turn activates type I IFN signaling via the cGAS–STING pathway and transcriptional ISG de‐repression, enhancing anti‐tumor immune responses ...
Kan Huang, Xi Dai, Shuaihu Li, Yingxue Chen, Yaxin Yu, Lin Wang, Kun Liu, Shuhan Lyu, Chongyang Li, Yihua Sun, Fei Li   +10 more
wiley   +1 more source

Inhibition of SIRT7 Overcomes Radioresistance in Pancreatic Neuroendocrine Tumors by Reactivating MEN1 Expression

Advanced Science, EarlyView.
Pancreatic neuroendocrine tumors frequently silence MEN1 through epigenetic mechanisms. Here, SIRT7 recruits DNMT1 to the MEN1 promoter, drives hypermethylation, and enhances DNA repair. Inhibiting SIRT7 restores MEN1, reduces MRN complex abundance, impairs double‐strand break repair, and sensitizes PanNET models to radiation, supporting SIRT7 as a ...
Jianyun Jiang, Yan Wang, Yi Qin, Luohai Chen, Xiaowu Xu, Guixiong Fan, Desheng Jing, Miaoyan Wei, Xianjun Yu, Junfeng Xu, Shunrong Ji, Jie Chen   +11 more
wiley   +1 more source

$k$-MLE: A fast algorithm for learning statistical mixture models

, 2012
We describe $k$-MLE, a fast and efficient local search algorithm for learning finite statistical mixtures of exponential families such as Gaussian mixture models.
Nielsen, Frank
core   +1 more source