Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Before you jump into the specific iPhone models, think about what matters most to you: battery life for all-day use, camera quality for photos and video, screen size for media or gaming, and how much ...

Abstract: This paper introduces SparseTSF, a novel and extremely lightweight method for Long-term Time Series Forecasting (LTSF), designed to address the challenges of modeling complex temporal ...

Abstract: In order to solve the problem that the multicoil torque of spherical reluctance motor cannot be obtained by simply superposing multiple single-coil torques, this article proposes an accurate ...

Pasadena is known for balancing urban life and natural beauty. But this balance has prioritized economics, aesthetics, and recreation over ecological and public health. The Arroyo Seco is at the ...

Segmentation from referring expressions & visual references enables more intuitive interactions. To set up the environment, run the following commands: # set root ...

We employ a base model based on trend-seasonality decomposition. The output head of the base model is modified to produce per-step discrete probability distribution over a predefined support set.