Results 91 to 100 of about 3,875,166 (215)
Decomposing venture evaluation: Learning about belief formation
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Evaluating early‐stage ventures is difficult because observable signals of future quality are weak and noisy. How closely are evaluators' assessments related to venture quality, and do their subjective judgments add to the information already available about a venture?
Thomas Åstebro +2 more
wiley +1 more source
Robotic Hand‐Arm Coordinated Skill Learning for Tool Manipulation Tasks
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This paper focuses on the specific scenario of tool manipulation and presents a novel framework enabling robots to acquire tool manipulation skills through learning from human demonstrations. While there have been numerous studies on robotic manipulation skill learning, most of them fail to fully leverage the combined advantages of coordinated
Jingxiang Chen +9 more
wiley +1 more source
Social and emotional pathways to shame reduction: An RCT with preservice teachers
British Journal of Educational Psychology, EarlyView.Abstract Background Shame is an unpleasant, activating emotion that has been shown to undermine learners' motivation and achievement and identity development in mathematics education. Recent studies have implemented positive psychology interventions (PPIs) to reduce preservice teachers' shame in mathematics, with promising quantitative outcomes ...
Lara Gildehaus, Lars Meyer‐Jenßen
wiley +1 more source
An extension of the basic local independence model to multiple observed classifications
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi +8 more
wiley +1 more source
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
Of hired guns and ideologues: Why would a law firm ever retain an honest expert witness?
Canadian Journal of Economics/Revue canadienne d'économique, EarlyView.Abstract Suppose that expert witnesses appearing in litigation are, generically, either honest in their assessment of a fact situation or are advocates who testify in favour of their retaining party, regardless of new information. The type of a witness is known to law firms, who engage with them repeatedly, but not to courts.
Martin Richardson, Jose Rodrigues‐Neto
wiley +1 more source
Neural Local Inter‐reflection Modeling for Garment Fold Rendering
Computer Graphics Forum, EarlyView.Abstract Realistic garment rendering requires simulating complex multi‐bounce light paths within intricate fold geometries. In these regions, conventional path tracing is computationally expensive as light becomes trapped, necessitating high bounce counts for convergence.
Jooeun Son +4 more
wiley +1 more source
Computer Graphics Forum, EarlyView.Abstract Recent advances in AI enable the automatic generation of visualizations directly from textual prompts using agentic workflows. However, visualizations produced via one‐shot generative methods often suffer from insufficient quality, typically requiring a human in the loop to refine the outputs.
Roxana Bujack +4 more
wiley +1 more source
Hopf and pre-Lie algebras in regularity structures
, 2022 These lecture notes aim to present the algebraic theory of regularity structures as developed in arXiv:1303.5113, arXiv:1610.08468, and arXiv:1711.10239. The main aim of this theory is to build a systematic approach to renormalisation of singular SPDEs; together with complementary analytic results, these works give a general solution theory for a wide ...
openaire +2 more sources
Scalable Computation of Topological Abstractions for Scalar Data
Computer Graphics Forum, EarlyView.Abstract Topological data analysis has become an important tool for large scale scalar data analysis and visualization, efficiently extracting the inherent structure and features of interest of the data. However, with growing dataset sizes and complexity, it is increasingly becoming infeasible to compute topological abstractions of interest in serial ...
M. Will +6 more
wiley +1 more source