GitHub

Lasso and Elastic-Net Regularized Generalized Linear Models

Version 4.0 is a major release that allows for any GLM family, besides the built-in families. Version 4.1 is a major release that expands the scope for survival modeling, allowing for (start, stop) ...
IEEE

Flow Mapping and Multivariate Visualization of Large Spatial Interaction Data

Abstract: Spatial interactions (or flows), such as population migration and disease spread, naturally form a weighted location-to-location network (graph). Such geographically embedded networks ...
Investopedia

Understanding Multivariate Models: Forecasting Investment Outcomes

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
IEEE

Hybrid Anomaly Detection via Multihead Dynamic Graph Attention Networks for Multivariate Time Series

Abstract: In the real world, a large number of multivariate time series data are generated by Internet of Things systems, which are composed of many connected sensing devices. Therefore, it is ...
GitHub

GLM-TTS: Controllable & Emotion-Expressive Zero-shot TTS with Multi-Reward Reinforcement Learning

GLM-TTS is a high-quality text-to-speech (TTS) synthesis system based on large language models, supporting zero-shot voice cloning and streaming inference. This system adopts a two-stage architecture: ...
VentureBeat

Z.ai debuts open source GLM-4.6V, a native tool-calling vision model for multimodal reasoning

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...