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58 Commits results spn_asi .gitignore README.md config.sh main.py requirements.txt run.sh spk_model.jpg README SPNs for robust ASI Sum-product networks (SPNs) with Gaussian leaves are used as speaker models for automatic speaker identification (ASI)[1]. An example of an SPN with univari...
awesome-spn is a curated and structured list of resources about Sum-Product Networks (SPNs), tractable deep density estimators. This includes (even not formally published) research papers sorted by year and topics as well as links to tutorials and code and other related Tractable Probabilistic Mod...
The use of artificial neural networks and decision trees: Implications for health-care research Open Computer Science Shaina Smith, Sabine McConnell Subjects Architecture and Design Arts Asian and Pacific Studies Business and Economics Chemistry Classical and Ancient Near Eastern Studies Computer Sciences...
transmission systems or in high speed data networks Wide-band RF gain block E LECTRICAL C HARACTERISTICS (T C = 25鈩? Parameter Power supply voltage Power supply current Photodiode bias voltage* Transimpedance 3dB Bandwidth Transimpedence gain deviation ...
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Joint Entity and Relation Extraction with Set Prediction Networks Source code forJoint Entity and Relation Extraction with Set Prediction Networks. We would appreciate it if you cite our paper as following: @article{sui2020joint, title={Joint Entity and Relation Extraction with Set Prediction Networks...
Tachyon is an open source library for sum product networks on GPUs. It's extemely fast and accurate. Table of contents About Installation Getting Started Documentation Examples About Tachyon is a sum product network build ontop of tensorflow and numpy. It supports both univariate binary and conti...