Results 51 to 60 of about 3,847 (306)
NeuroImageDuring language comprehension, the larger neural response to unexpected versus expected inputs is often taken as evidence for predictive coding—a specific computational architecture and optimization algorithm proposed to approximate probabilistic ...
Lin Wang +4 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Durham - a word sense disambiguation system [PDF]
, 1999 Ever since the 1950's when Machine Translation first began to be developed, word sense disambiguation (WSD) has been considered a problem to developers. In more recent times, all NLP tasks which are sensitive to lexical semantics potentially benefit from
Hawkins, Paul Martin
core
optimParallel: An R Package Providing a Parallel Version of the L-BFGS-B Optimization Method [PDF]
, 2019 The R package optimParallel provides a parallel version of the L-BFGS-B optimization method of optim(). The main function of the package is optimParallel(), which has the same usage and output as optim().
Furrer, Reinhard, Gerber, Florian
core +5 more sources
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
Advanced Intelligent Discovery, EarlyView.A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
New algorithms for query modifications
Моделирование и анализ информационных систем, 2009 New algorithms for query modifications are proposed. These algorithms involve the lexical optimization based on the mathematical transformations that have never been used for the query optimization before.
S. D. Kuznetsov, N. A. Mendkovich
doaj
Vernacular Futurism: How Persian Language Users Imagine AI
AI &Innovation, EarlyView.ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley +1 more source
Incremental refinement of relevance rankings: Balancing relevance depth and scope
Journal of the Association for Information Science and Technology, EarlyView.Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley +1 more source
Lexicon Optimization Reconsidered [PDF]
, 2002 This paper takes up the hitherto neglected issue of the lexicon, and shows how the lexicon can be projected from the structure of a language's grammar, seeking to resolve the tension between a desire to minimize lexical specification and a desire to ...
Kim, Jin-hyung
core
Towards a Robuster Interpretive Parsing [PDF]
, 2013 The input data to grammar learning algorithms often consist of overt forms that do not contain full structural descriptions. This lack of information may contribute to the failure of learning. Past work on Optimality Theory introduced Robust Interpretive
Biró, Tamás, Tamás Biró, Biró, T.
core +1 more source