AIMC Topic: Logic

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Gated Orthogonal Recurrent Units: On Learning to Forget.

Neural computation Feb 14, 2019
We present a novel recurrent neural network (RNN)-based model that combines the remembering ability of unitary evolution RNNs with the ability of gated RNNs to effectively forget redundant or irrelevant information in its memory. We achieve this by e...
Logic Memory Language Learning Humans Neural Networks, Computer Computer Simulation
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Learning to activate logic rules for textual reasoning.

Neural networks : the official journal of the International Neural Network Society Jul 3, 2018
Most current textual reasoning models cannotlearn human-like reasoning process, and thus lack interpretability and logical accuracy. To help address this issue, we propose a novel reasoning model which learns to activate logic rules explicitly via de...
Memory Problem Solving Humans Artificial Intelligence Learning Decision Making Logic
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Qualitative spatial logic descriptors from 3D indoor scenes to generate explanations in natural language.

Cognitive processing Jun 24, 2017
The challenge of describing 3D real scenes is tackled in this paper using qualitative spatial descriptors. A key point to study is which qualitative descriptors to use and how these qualitative descriptors must be organized to produce a suitable cogn...
Humans Machine Learning User-Computer Interface Natural Language Processing Logic Space Perception Spatial Analysis Pattern Recognition, Automated
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A Pipelined Non-Deterministic Finite Automaton-Based String Matching Scheme Using Merged State Transitions in an FPGA.

PloS one Oct 3, 2016
This paper proposes a pipelined non-deterministic finite automaton (NFA)-based string matching scheme using field programmable gate array (FPGA) implementation. The characteristics of the NFA such as shared common prefixes and no failure transitions ...
Computer Simulation Logic Algorithms Computers Neural Networks, Computer
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Differential diagnosis of pleural mesothelioma using Logic Learning Machine.

BMC bioinformatics Jun 1, 2015
BACKGROUND: Tumour markers are standard tools for the differential diagnosis of cancer. However, the occurrence of nonspecific symptoms and different malignancies involving the same cancer site may lead to a high proportion of misclassifications. Cla...
Diagnosis, Differential Biomarkers, Tumor Mesothelioma Male Lung Neoplasms Middle Aged Decision Trees Neoplasm Metastasis Cohort Studies Artificial Intelligence Mesothelioma, Malignant Logic Female Humans Pleural Neoplasms Neural Networks, Computer
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Using a Logic Model to Explore Seniors' Interactions with a Coaching Robot.

Studies in health technology and informatics Apr 24, 2025
BACKGROUND: The use of Logic Models provides a structured approach to understanding and visualizing the impact of interventions in complex systems, such as Ambient or Active Assisted Living (AAL).
Female Aged Humans Robotics Mentoring Male Logic Mobile Applications
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Pattern-Based Logical Definitions of Prenatal Disorders Grounded on Dispositions.

Studies in health technology and informatics May 25, 2022
Biomedical ontologies define concepts having biomedical significance and the semantic relations among them. Developing high-quality and reusable ontologies in the biomedical domain is a challenging task. Pattern-based ontology design is considered a ...
Logic Semantics Biological Ontologies
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Characterization of multiscale logic operations in the neural circuits.

Frontiers in bioscience (Landmark edition) Oct 30, 2021
: Ever since the seminal work by McCulloch and Pitts, the theory of neural computation and its philosophical foundation known as 'computationalism' have been central to brain-inspired artificial intelligence (AI) technologies. The present study descr...
Logic Synaptic Transmission Pyramidal Cells Artificial Intelligence Neurons
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Neuromorphic computation with spiking memristors: habituation, experimental instantiation of logic gates and a novel sequence-sensitive perceptron model.

Faraday discussions Feb 18, 2019
Memristors have been compared to neurons and synapses, suggesting they would be good for neuromorphic computing. A change in voltage across a memristor causes a current spike which imparts a short-term memory to a memristor, allowing for through-time...
Titanium Equipment Design Electronics Neural Networks, Computer Algorithms Information Storage and Retrieval Logic
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Adversarial Controls for Scientific Machine Learning.

ACS chemical biology Oct 19, 2018
New machine learning methods to analyze raw chemical and biological data are now widely accessible as open-source toolkits. This positions researchers to leverage powerful, predictive models in their own domains. We caution, however, that the applica...
Logic Machine Learning Models, Theoretical
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