Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...
Abstract: Learning-based distribution system state estimation (DSSE) methods typically depend on sufficient fully labeled data to construct mapping functions. However, collecting historical labels ...
Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...
We are at a critical time and supporting science journalism is more important than ever. Science News and our parent organization, the Society for Science, need your help to strengthen scientific ...
Whole slide images (WSIs) classification represents a fundamental challenge in computational pathology, where multiple instance learning (MIL) has emerged as the dominant paradigm. Current ...
cuADMM solves multi-block SDP problems of the form: $$\min_X \left\langle C,X\right\rangle \quad\text{s.t.}\quad \begin{cases} \left\langle A_i,X\right\rangle = b_i ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results