Integration between constrained optimization and deep networks: a survey
Frontiers in Artificial IntelligenceIntegration between constrained optimization and deep networks has garnered significant interest from both research and industrial laboratories. Optimization techniques can be employed to optimize the choice of network structure based not only on loss ...
Alice Bizzarri +3 more
doaj +1 more source
Scalable Emulation of Sign-Problem$-$Free Hamiltonians with Room Temperature p-bits
, 2019 The growing field of quantum computing is based on the concept of a q-bit which is a delicate superposition of 0 and 1, requiring cryogenic temperatures for its physical realization along with challenging coherent coupling techniques for entangling them.
Camsari, Kerem Y. +2 more
core +1 more source
Asymptotical Feedback Stabilization and Controllability of Probabilistic Logic Networks With State-Dependent Constraints [PDF]
, 2022 Chaoqun Dai, Yuqian Guo
openalex +1 more source
Effectiveness Analysis of Information Dissemination on Social Media Using a Neutrosophic Offsocial Propagation Network Model [PDF]
Neutrosophic Sets and SystemsSocial media platforms amplify information dissemination but struggle to model extreme viral trends and harmful content, as traditional models like fuzzy sets and PageRank are limited to a [0,1] range. The Neutrosophic Offsocial Propagation Network Model
Weidong Jiang, Pianpian Wang
doaj +1 more source
A Bayesian Framework for the Automated Online Assessment of Sensor Data Quality
Sensors, 2012 Online automated quality assessment is critical to determine a sensor’s fitness for purpose in real-time applications. A Dynamic Bayesian Network (DBN) framework is proposed to produce probabilistic quality assessments and represent the uncertainty of ...
Claire D’Este +3 more
doaj +1 more source
Symbolic Exact Inference for Discrete Probabilistic Programs
, 2019 The computational burden of probabilistic inference remains a hurdle for applying probabilistic programming languages to practical problems of interest.
Broeck, Guy Van den +2 more
core
Structural Constraints for Multipartite Entity Resolution with Markov Logic Network
International Conference on Information and Knowledge Management, 2015 Multipartite entity resolution seeks to match entity mentions across several collections. An entity mention is presumed unique within a collection, and thus could match at most one entity mention in each of the other collections.
Tengyuan Ye, Hady W. Lauw
semanticscholar +1 more source
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks
Frontiers in Artificial Intelligence, 2020 Artificial Intelligence (AI) plays a fundamental role in the modern world, especially when used as an autonomous decision maker. One common concern nowadays is “how trustworthy the AIs are.” Human operators follow a strict educational curriculum and ...
Mingxi Cheng +2 more
doaj +1 more source
Corrections to “A Human-in-the-Loop Probabilistic CNN-Fuzzy Logic Framework for Accident Prediction in Vehicular Networks” [Jul 21 15496-15503] [PDF]
, 2022 Muhammad Usman +4 more
openalex +1 more source
Probabilistically cloning two single-photon states using weak cross-Kerr nonlinearities
New Journal of Physics, 2014 By using quantum nondemolition detectors (QNDs) based on weak cross-Kerr nonlinearities, we propose an experimental scheme for achieving $1\to 2$ probabilistic quantum cloning (PQC) of a single-photon state, secretly choosing from a two-state set. In our
Wen Zhang +3 more
doaj +1 more source