Zobrazeno 1 - 10
of 84 599
pro vyhledávání: '"P, Helén"'
Autor:
Jin, Helen, Havaldar, Shreya, Kim, Chaehyeon, Xue, Anton, You, Weiqiu, Qu, Helen, Gatti, Marco, Hashimoto, Daniel A, Jain, Bhuvnesh, Madani, Amin, Sako, Masao, Ungar, Lyle, Wong, Eric
Feature-based methods are commonly used to explain model predictions, but these methods often implicitly assume that interpretable features are readily available. However, this is often not the case for high-dimensional data, and it can be hard even
Externí odkaz:
http://arxiv.org/abs/2409.13684
Autor:
Chen, Jing, Elliott, Karen, Knottenbelt, William, van Moorsel, Aad, Orpin, Helen, Robertson, Sheena, Vines, John, Wolter, Katinka
This document presents a research agenda for financial services as a deliverable of UKFin+, a Network Plus grant funded by the Engineering and Physical Sciences Research Council. UKFin+ fosters research collaborations between academic and non-academi
Externí odkaz:
http://arxiv.org/abs/2411.13389
Autor:
Mirza, Inam, Sládek, Juraj, Levy, Yoann, Bulgakov, Alexander V., Dimitriou, Vasilis, Papadaki, Helen, Kaselouris, Evaggelos, Gecys, Paulius, Račiukaitis, Gediminas, Bulgakova, Nadezhda M.
Using different laser irradiation patterns to modify of silicon surface, it has been demonstrated that, at rather small overlapping between irradiation spots, highly regular laser-induced periodic surface structures (LIPSS) can be produced already st
Externí odkaz:
http://arxiv.org/abs/2411.11700
Autor:
Glaze, Nicholas, McNeely, Tria, Zhu, Yiwen, Gleeson, Matthew, Serr, Helen, Bhopi, Rajeev, Krishnan, Subru
Publikováno v:
Proc. ACM Manag. Data, Vol. 2, No. 3 (SIGMOD), Article 149. Publication date: June 2024
Cloud operators have expanded their service offerings, known as Stock Keeping Units (SKUs), to accommodate diverse demands, resulting in increased complexity for customers to select appropriate configurations. In a studied system, only 43% of the res
Externí odkaz:
http://arxiv.org/abs/2411.11325
Autor:
Feng, Tiantian, Xu, Anfeng, Lahiri, Rimita, Tager-Flusberg, Helen, Kim, So Hyun, Bishop, Somer, Lord, Catherine, Narayanan, Shrikanth
Large Language Models (LLMs) have shown significant potential in understanding human communication and interaction. However, their performance in the domain of child-inclusive interactions, including in clinical settings, remains less explored. In th
Externí odkaz:
http://arxiv.org/abs/2411.10761
With the rise of Speech Large Language Models (Speech LLMs), there has been growing interest in discrete speech tokens for their ability to integrate with text-based tokens seamlessly. Compared to most studies that focus on continuous speech features
Externí odkaz:
http://arxiv.org/abs/2411.08742
Grapheme-to-phoneme (G2P) conversion is a crucial step in Text-to-Speech (TTS) systems, responsible for mapping grapheme to corresponding phonetic representations. However, it faces ambiguities problems where the same grapheme can represent multiple
Externí odkaz:
http://arxiv.org/abs/2411.07563
Autor:
He, Jesse, Jenne, Helen, Chau, Herman, Brown, Davis, Raugas, Mark, Billey, Sara, Kvinge, Henry
Machine learning is becoming an increasingly valuable tool in mathematics, enabling one to identify subtle patterns across collections of examples so vast that they would be impossible for a single researcher to feasibly review and analyze. In this w
Externí odkaz:
http://arxiv.org/abs/2411.07467
Recent advances in prototypical learning have shown remarkable potential to provide useful decision interpretations associating activation maps and predictions with class-specific training prototypes. Such prototypical learning has been well-studied
Externí odkaz:
http://arxiv.org/abs/2411.04607
This paper introduces a novel framework for dynamic classification in high dimensional spaces, addressing the evolving nature of class distributions over time or other index variables. Traditional discriminant analysis techniques are adapted to learn
Externí odkaz:
http://arxiv.org/abs/2411.01820