Contemporary quantum computing use cases: taxonomy, review and challenges
Recently, the popularity of using the expressive power of quantum computing to solve
known, challenging problems has increased remarkably. This study aims to develop a clear …
known, challenging problems has increased remarkably. This study aims to develop a clear …
A survey of quantum-cognitively inspired sentiment analysis models
Quantum theory, originally proposed as a physical theory to describe the motions of
microscopic particles, has been applied to various non-physics domains involving human …
microscopic particles, has been applied to various non-physics domains involving human …
The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale
Recent work has demonstrated the viability of using crowdsourcing as a tool for evaluating
the truthfulness of public statements. Under certain conditions such as:(1) having a balanced …
the truthfulness of public statements. Under certain conditions such as:(1) having a balanced …
A survey of quantum theory inspired approaches to information retrieval
Since 2004, researchers have been using the mathematical framework of quantum theory in
information retrieval (IR). Quantum theory offers a generalized probability and logic …
information retrieval (IR). Quantum theory offers a generalized probability and logic …
On the role of human and machine metadata in relevance judgment tasks
In order to evaluate the effectiveness of Information Retrieval (IR) systems it is key to collect
relevance judgments from human assessors. Crowdsourcing has successfully been used as …
relevance judgments from human assessors. Crowdsourcing has successfully been used as …
Quantum cognitively motivated decision fusion for video sentiment analysis
Video sentiment analysis as a decision-making process is inherently complex, involving the
fusion of decisions from multiple modalities and the so-caused cognitive biases. Inspired by …
fusion of decisions from multiple modalities and the so-caused cognitive biases. Inspired by …
Kernel method based on non-linear coherent states in quantum feature space
In this paper, by mapping datasets to a set of non-linear coherent states, the process of
encoding inputs in quantum states as a non-linear feature map is re-interpreted. As a result …
encoding inputs in quantum states as a non-linear feature map is re-interpreted. As a result …
Kernel method based on non-linear coherent state
In this paper, by mapping datasets to a set of non-linear coherent states, the process of
encoding inputs in quantum states as a non-linear feature map is re-interpreted. As a result …
encoding inputs in quantum states as a non-linear feature map is re-interpreted. As a result …
Predicting Crowd Workers Performance: An Information Quality Case
Supervised machine learning tasks require human-labeled data. Crowdsourcing allows
scaling up the labeling process, but the quality of the labels obtained can vary. To address …
scaling up the labeling process, but the quality of the labels obtained can vary. To address …
The cerebral cortex realizes a universal probabilistic model of computation in complex hilbert spaces
C Jones - 2020 - osf.io
A model of computation describes how units of information and an organizational
architecture transform input to output. In the cerebral cortex the unit of information is a …
architecture transform input to output. In the cerebral cortex the unit of information is a …