Zobrazeno 1 - 10
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pro vyhledávání: '"Data, P."'
We consider succinct data structures for representing a set of $n$ horizontal line segments in the plane given in rank space to support \emph{segment access}, \emph{segment selection}, and \emph{segment rank} queries. A segment access query finds the
Externí odkaz:
http://arxiv.org/abs/2412.04965
Autor:
Wu, Hengkui, Chi, Panpan, Zhu, Yongfeng, Liu, Liujiang, Hu, Shuyang, Wang, Yuexin, Zhou, Chen, Wang, Qihao, Xin, Yingsi, Liu, Bruce, Liang, Dahao, Jia, Xinglong, Ruan, Manqi
For decades, researchers have developed task-specific models to address scientific challenges across diverse disciplines. Recently, large language models (LLMs) have shown enormous capabilities in handling general tasks; however, these models encount
Externí odkaz:
http://arxiv.org/abs/2412.00129
Topological Data Analysis (TDA) has recently gained significant attention in the field of financial prediction. However, the choice of point cloud construction methods, topological feature representations, and classification models has a substantial
Externí odkaz:
http://arxiv.org/abs/2411.13881
Autor:
Castelli, Eleonora, Baghi, Quentin, Baker, John G., Slutsky, Jacob, Bobin, Jérôme, Karnesis, Nikolaos, Petiteau, Antoine, Sauter, Orion, Wass, Peter, Weber, William J.
The Laser Interferometer Space Antenna (LISA) mission is being developed by ESA with NASA participation. As it has recently passed the Mission Adoption milestone, models of the instruments and noise performance are becoming more detailed, and likewis
Externí odkaz:
http://arxiv.org/abs/2411.13402
Many properties of Boolean functions can be tested far more efficiently than the function can be learned. However, this advantage often disappears when testers are limited to random samples--a natural setting for data science--rather than queries. In
Externí odkaz:
http://arxiv.org/abs/2411.12730
We consider the problem of sampling a multimodal distribution with a Markov chain given a small number of samples from the stationary measure. Although mixing can be arbitrarily slow, we show that if the Markov chain has a $k$th order spectral gap, i
Externí odkaz:
http://arxiv.org/abs/2411.09117
We propose a general framework for end-to-end learning of data structures. Our framework adapts to the underlying data distribution and provides fine-grained control over query and space complexity. Crucially, the data structure is learned from scrat
Externí odkaz:
http://arxiv.org/abs/2411.03253
Data-driven inference of the generative dynamics underlying a set of observed time series is of growing interest in machine learning and the natural sciences. In neuroscience, such methods promise to alleviate the need to handcraft models based on bi
Externí odkaz:
http://arxiv.org/abs/2411.02949
High-pass Filter Periodogram: An Improved Power Spectral Density Estimator for Unevenly Sampled Data
Publikováno v:
PASP 136 114502 (2024)
Accurate time series analysis is essential for studying variable astronomical sources, where detecting periodicities and characterizing power spectral density (PSD) are crucial. The Lomb-Scargle periodogram, commonly used in astronomy for analyzing u
Externí odkaz:
http://arxiv.org/abs/2411.02656
Random Forest (RF) and Gradient Boosting Regression Trees (GBRT) regression models along with three cheminformatics data sets (RDkit, Mordred, Morgan) have been used to predict the power conversion efficiency (PCE) of organic solar cells (OSCs). The
Externí odkaz:
http://arxiv.org/abs/2410.23444