PROBLP: A framework for Iow-precision probabilistic inference
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[1] Marian Verhelst,et al. Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification , 2018, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
[2] Adnan Darwiche,et al. When do Numbers Really Matter? , 2001, UAI.
[3] Nicholas J. Higham,et al. INVERSE PROBLEMS NEWSLETTER , 1991 .
[4] Adnan Darwiche,et al. Sensitivity Analysis in Bayesian Networks: From Single to Multiple Parameters , 2004, UAI.
[5] Marian Verhelst,et al. Towards Resource-Efficient Classifiers for Always-On Monitoring , 2018, ECML/PKDD.
[6] Sebastian Tschiatschek,et al. Bayesian Network Classifiers with Reduced Precision Parameters , 2012, ECML/PKDD.
[7] Guy Van den Broeck,et al. Learning Logistic Circuits , 2019, AAAI.
[8] Gregory F. Cooper,et al. The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks , 1989, AIME.
[9] Davide Anguita,et al. A Public Domain Dataset for Human Activity Recognition using Smartphones , 2013, ESANN.
[10] Adnan Darwiche,et al. On probabilistic inference by weighted model counting , 2008, Artif. Intell..
[11] Luc De Raedt,et al. DeepProbLog: Neural Probabilistic Logic Programming , 2018, BNAIC/BENELEARN.
[12] Petia Radeva,et al. Personalization and user verification in wearable systems using biometric walking patterns , 2011, Personal and Ubiquitous Computing.
[13] V. S. Costa,et al. Theory and Practice of Logic Programming , 2010 .
[14] David D. Wentzloff,et al. Hardware Accelerator for Probabilistic Inference in 65-nm CMOS , 2016, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[15] Luc De Raedt,et al. Inference and learning in probabilistic logic programs using weighted Boolean formulas , 2013, Theory and Practice of Logic Programming.
[16] Daniela Micucci,et al. UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones , 2016, ArXiv.
[17] Judea Pearl,et al. Chapter 2 – BAYESIAN INFERENCE , 1988 .
[18] Bhaskara Marthi,et al. A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs , 2017, Science.
[19] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[20] Luc De Raedt,et al. Inference in Probabilistic Logic Programs using Weighted CNF's , 2011, UAI.
[21] Jean-Philippe Diguet,et al. FPGA implementation of Bayesian network inference for an embedded diagnosis , 2015, 2015 IEEE Conference on Prognostics and Health Management (PHM).