Results 71 to 80 of about 1,397,188 (342)
CoRRReasoning, the process of devising and executing complex goal-oriented action sequences, remains a critical challenge in AI. Current large language models (LLMs) primarily employ Chain-of-Thought (CoT) techniques, which suffer from brittle task decomposition, extensive data requirements, and high latency.
Guan Wang +8 more
openaire +2 more sources
Learning hierarchical models of activity [PDF]
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005 This paper investigates learning hierarchical statistical activity models in indoor environments. The abstract hidden Markov model (AHMM) is used to represent behaviors in stochastic environments. We train the model using both labeled and unlabeled data and estimate the parameters using expectation maximization (EM). Results are shown on three datasets:
Sarah Osentoski +2 more
openaire +1 more source
Molecular Oncology, EarlyView.RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
A hierarchical model of metacognition. [PDF]
, 2020 I present a novel method of conceptualizing metacognition in a computational hierarchy. Metacognition is commonlydescribed as cognition acting on itself, and correlates with enhanced performance in memory, reasoning, emotional reg-ulation, and motor skills.
Conway-Smith, Brendan, West, Robert
openaire +1 more source
Model-Checking Hierarchical Structures [PDF]
20th Annual IEEE Symposium on Logic in Computer Science (LICS' 05), 2006 Hierarchical graph definitions allow a modular description of graphs using modules for the specification of repeated substructures. Beside this modularity, hierarchical graph definitions also allow to specify graphs of exponential size using polynomial size descriptions.
openaire +3 more sources
FEBS Open Bio, EarlyView.Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 more
wiley +1 more source
Bringing circuit theory into spatial occupancy models to assess landscape connectivity
Methods in Ecology and EvolutionOccupancy models were originally developed to better understand species distribution while accounting for imperfect detection. Because species distribution is not only shaped by habitat quality but also by the ability of individuals to reach suitable ...
Maëlis Kervellec +9 more
doaj +1 more source
bamdit: An R Package for Bayesian Meta-Analysis of Diagnostic Test Data
Journal of Statistical Software, 2018 In this paper we present the R package bamdit. The name of the package stands for "Bayesian meta-analysis of diagnostic test data". bamdit was developed with the aim of simplifying the use of models in meta-analysis, that up to now have demanded great ...
Pablo Emilio Verde
doaj +1 more source
Scalable Rejection Sampling for Bayesian Hierarchical Models [PDF]
, 2014 Bayesian hierarchical modeling is a popular approach to capturing unobserved heterogeneity across individual units. However, standard estimation methods such as Markov chain Monte Carlo (MCMC) can be impracticable for modeling outcomes from a large ...
Braun, Michael, Damien, Paul
core
Avalanche precursors of failure in hierarchical fuse networks
, 2014 We study precursors of failure in hierarchical random fuse network models which can be considered as idealizations of hierarchical (bio)materials where fibrous assemblies are held together by multi-level (hierarchical) cross-links.
A Gautieri +22 more
core +3 more sources