Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression (SVR) predicts a single numeric value using a kernel function, usually RBF, that computes similarity between two data items. SVR makes predictions using support vectors, ...
IEEE

Ckt2Vec: Efficient Electrical Encoding for Analog Circuit Representations in Vector Space

Abstract: Representation learning for analog circuits is challenging due to the continuous electrical characteristics of devices, compared to the discrete states of digital circuits. While graph ...
C&EN

EC2Vec: A Machine Learning Method to Embed Enzyme Commission (EC) Numbers into Vector Representations

Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States Center for Computation and Technology, Louisiana State University, Baton Rouge, ...
IEEE

Enhancing Octree-Based Context Models for Point Cloud Geometry Compression With Attention-Based Child Node Number Prediction

In point cloud geometry compression, most octree-based context models use the cross-entropy between the one-hot encoding of node occupancy and the probability distribution predicted by the context ...
GitHub

smiles-encoder: One-hot encoding for simple molecular-input line-entry system (SMILES) strings

smiles-encoder is a Python package used to generate one-hot vectors representing SMILES strings (each string element is a one-hot vector). To contribute to smiles-encoder, make a pull request.
Frontiers

CNNArginineMe: A CNN structure for training models for predicting arginine methylation sites based on the One-Hot encoding of peptide sequence

Protein arginine methylation (PRme), as one post-translational modification, plays a critical role in numerous cellular processes and regulates critical cellular functions. Though several in silico ...
Frontiers

Identifying the Correlations Between the Semantics and the Phonology of American Sign Language and British Sign Language: A Vector Space Approach

Over the history of research on sign languages, much scholarship has highlighted the pervasive presence of signs whose forms relate to their meaning in a non-arbitrary way. The presence of these forms ...