Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

A research team led by Associate Prof. Wang Anting from the University of Science and Technology of China (USTC) of the ...

T therapies is an expensive business. The fundamental problem is that CAR-T production is not a good fit for centralized manufacturing.

Lentiviral vectors (LVVs) have proven to be extremely ... with multiple generations of both integrating and non-integrating, using different pseudotypes. Even though the in vivo use of LVVs ...

Also, scoped values, a vector API, a key derivation function API, structured concurrency, flexible constructor bodies, module import declarations, compact source files and instance main methods ...

For creditworthy borrowers who don’t meet traditional lending requirements, a non-QM loan can provide a (more expensive) path to homeownership. Some or all of the mortgage lenders featured on ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...

Currently, most rumor detection methods fail to consider the non-consecutive semantic features of the post’s text or the authority of commenting users. Therefore, we propose a novel rumor detection ...

A few small biotechnology companies worldwide focus their R&D efforts on the development of vectors that target such receptors in order to use them to usher vector-associated drugs across the BBB ...

To address this issue, we proposed piece-wise non-linear regression tree (PS-Tree), an automated piece-wise non-linear regression method based on decision tree and genetic programming techniques.

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

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