by instadatahelp | Sep 4, 2023 | AI Blogs
Adaptive Data Depth via Multi-Armed Bandits Tavor Baharav, Tze Leung Lai; 24(155):1−29, 2023. Abstract Data depth is an important tool in data science, robust statistics, and computational geometry. However, many common measures of depth are computationally intensive,...
![RepCodec: A Codec for Speech Tokenization using Speech Representation (arXiv:2309.00169v1 [eess.AS])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Sep 4, 2023 | AI Blogs
The rapid growth of large language models (LLMs) has highlighted the importance of discrete speech tokenization in injecting speech into these models. However, this process of discretization results in a loss of information, leading to a decrease in overall...
by instadatahelp | Sep 4, 2023 | AI Blogs
Minimax Rates and Randomized Sketches for Kernel-based Estimation in Partially Functional Linear Models Authors: Shaogao Lv, Xin He, Junhui Wang; Journal of Machine Learning Research, 24(55):1−38, 2023. Abstract This study focuses on the partially functional linear...
by instadatahelp | Sep 4, 2023 | AI Blogs
We present a unique approach to defining assistance systems that utilize information fusion to combine various sources of information and provide an assessment. The main contribution of this study is the development of a comprehensive framework for fusing multiple...
by instadatahelp | Sep 4, 2023 | AI Blogs
Integrating Random Effects in Deep Neural Networks The paper “Integrating Random Effects in Deep Neural Networks” by Giora Simchoni and Saharon Rosset (2023) explores the use of mixed models to handle correlated data in deep neural networks (DNNs). While...
by instadatahelp | Sep 4, 2023 | AI Blogs
Introducing TurboGP, a Python-based Genetic Programming (GP) library that is exclusively developed for machine learning purposes. TurboGP stands out from other GP implementations by incorporating advanced features like island and cellular population schemes, along...
