Results 31 to 40 of about 458,504 (282)
Do rats learn conditional independence? [PDF]
Royal Society Open Science, 2017 If acquired associations are to accurately represent real relevance relations, there is motivation for the hypothesis that learning will, in some circumstances, be more appropriately modelled, not as direct dependence, but as conditional independence. In
Robert Ian Bowers, William Timberlake
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Pattern Formation in Non‐Equilibrium Architected Materials
Advanced Materials Technologies, EarlyView.This article demonstrates an artificial mechanical system ‐ a robotic metamaterial ‐ as an accessible and versatile platform within which to explore and prescribe the reaction‐diffusion driven pattern formation hitherto associated with comparatively less accessible and versatile non‐equilibrium biological and chemical systems.
Vinod Ramakrishnan, Michael J. Frazier
wiley +1 more source
Operational Meanings of Orders of Observables Defined through Quantum Set Theories with Different Conditionals [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 In quantum logic there is well-known arbitrariness in choosing a binary operation for conditional. Currently, we have at least three candidates, called the Sasaki conditional, the contrapositive Sasaki conditional, and the relevance conditional.
Masanao Ozawa
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Digital Presentation and Preservation of Cultural and Scientific Heritage, 2021 This paper introduces a method for extracting information from various cultural heritage data sources using word embedding with feature extraction from the sentence and structured representation of the sentence.
Jordan Stoikov
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Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
, 2017 We introduce globally normalized convolutional neural networks for joint entity classification and relation extraction. In particular, we propose a way to utilize a linear-chain conditional random field output layer for predicting entity types and ...
Adel, Heike, Schütze, Hinrich
core +1 more source
Conditional Ranking on Relational Data [PDF]
, 2010 In domains like bioinformatics, information retrieval and social network analysis, one can find learning tasks where the goal consists of inferring a ranking of objects, conditioned on a particular target object. We present a general kernel framework for learning conditional rankings from various types of relational data, where rankings can be ...
Pahikkala, Tapio +4 more
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Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
From Many-Valued Consequence to Many-Valued Connectives
, 2019 Given a consequence relation in many-valued logic, what connectives can be defined? For instance, does there always exist a conditional operator internalizing the consequence relation, and which form should it take?
Chemla, Emmanuel, Egré, Paul
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PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping
Advanced Science, EarlyView.scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su +7 more
wiley +1 more source
Extraction of semantic biomedical relations from text using conditional random fields
BMC Bioinformatics, 2008 Background The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of automated information extraction tools.
Stetter Martin +4 more
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