Repositorio Universidad Distrital
metadata only
Modelo predictivo usando Redes Neuronales de Boltzmann para el análisis del rendimiento a partir de los informes de cierre presentados por los docentes
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- On the importance of hidden bias and hidden entropy in representational efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines#955605
- HALO: Enhancing Time Series Generation via Hyperspherical Latents and Masked AutoregRessive Modeling#1131662
- Cryptanalytic Extraction of Neural Networks Without Known Architecture Assumption#1160729
- Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path Forward#1104916
- Weighting Schedules Govern What and When Score-Based Generative Models Learn from Multimodal Data#1129914
Record · ID 243032
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive