Zobrazeno 1 - 10
of 5 193
pro vyhledávání: '"THOMAS, C. M."'
Autor:
Han, Yi, Lee, Thomas C. M.
This paper introduces the novel piecewise stationary covariate-assisted ranking estimation (PS-CARE) model for analyzing time-evolving pairwise comparison data, enhancing item ranking accuracy through the integration of covariate information. By part
Externí odkaz:
http://arxiv.org/abs/2408.13642
Lung cancer is a major cause of cancer-related deaths, and early diagnosis and treatment are crucial for improving patients' survival outcomes. In this paper, we propose to employ convolutional neural networks to model the non-linear relationship bet
Externí odkaz:
http://arxiv.org/abs/2408.09367
In stochastic low-rank matrix bandit, the expected reward of an arm is equal to the inner product between its feature matrix and some unknown $d_1$ by $d_2$ low-rank parameter matrix $\Theta^*$ with rank $r \ll d_1\wedge d_2$. While all prior studies
Externí odkaz:
http://arxiv.org/abs/2404.17709
The origins of fiducial inference trace back to the 1930s when R. A. Fisher first introduced the concept as a response to what he perceived as a limitation of Bayesian inference - the requirement for a subjective prior distribution on model parameter
Externí odkaz:
http://arxiv.org/abs/2404.08169
Lipschitz bandit is a variant of stochastic bandits that deals with a continuous arm set defined on a metric space, where the reward function is subject to a Lipschitz constraint. In this paper, we introduce a new problem of Lipschitz bandits in the
Externí odkaz:
http://arxiv.org/abs/2305.18543
Autor:
Thesiger, Wilfred
Publikováno v:
The Geographical Journal, 1951 Mar 01. 117(1), 117-119.
Externí odkaz:
https://www.jstor.org/stable/1789816
In stochastic contextual bandits, an agent sequentially makes actions from a time-dependent action set based on past experience to minimize the cumulative regret. Like many other machine learning algorithms, the performance of bandits heavily depends
Externí odkaz:
http://arxiv.org/abs/2302.09440
Autor:
Fan, Minjie, Wang, Jue, Kashyap, Vinay L., Lee, Thomas C. M., van Dyk, David A., Zezas, Andreas
Data from high-energy observations are usually obtained as lists of photon events. A common analysis task for such data is to identify whether diffuse emission exists, and to estimate its surface brightness, even in the presence of point sources that
Externí odkaz:
http://arxiv.org/abs/2208.07427
Publikováno v:
IEEE Access, Vol 12, Pp 117872-117883 (2024)
Deep neural networks have performed remarkably in many areas, including image-related classification tasks. However, various studies have shown that they are vulnerable to adversarial examples – images carefully crafted to fool well-trained deep ne
Externí odkaz:
https://doaj.org/article/9741308dc8364e6db23f86a25f078893
In the signal processing and statistics literature, the minimum description length (MDL) principle is a popular tool for choosing model complexity. Successful examples include signal denoising and variable selection in linear regression, for which th
Externí odkaz:
http://arxiv.org/abs/2201.11171