نتایج جستجو برای: learning phase

تعداد نتایج: 1184515  

2016
Ze-Ning Huang Chang-Ming Huang Chao-Hui Zheng Ping Li Jian-Wei Xie Jia-Bin Wang Jian-Xian Lin Jun Lu Qi-Yue Chen Long-long Cao Mi Lin Ru-Hong Tu

To investigate the learning curve of the application of Huang 3-step maneuver, which was summarized and proposed by our center for the treatment of advanced upper gastric cancer. From April 2012 to March 2013, 130 consecutive patients who underwent a laparoscopic spleen-preserving splenic hilar lymphadenectomy (LSPL) by a single surgeon who performed Huang 3-step maneuver were retrospectively a...

Journal: :Learning & memory 2015
Miriam S Nokia Tomi Waselius Jarno E Mikkonen Jan Wikgren Markku Penttonen

Hippocampal θ (3-12 Hz) oscillations are implicated in learning and memory, but their functional role remains unclear. We studied the effect of the phase of local θ oscillation on hippocampal responses to a neutral conditioned stimulus (CS) and subsequent learning of classical trace eyeblink conditioning in adult rabbits. High-amplitude, regular hippocampal θ-band responses (that predict good l...

Journal: :Cognitive psychology 2016
Caitlin Tenison Jon M Fincham John R Anderson

This fMRI study examines the changes in participants' information processing as they repeatedly solve the same mathematical problem. We show that the majority of practice-related speedup is produced by discrete changes in cognitive processing. Because the points at which these changes take place vary from problem to problem, and the underlying information processing steps vary in duration, the ...

2008
Érick Alphonse Aomar Osmani

The feasibility of symbolic learning strongly relies on the efficiency of heuristic search in the hypothesis space. However, recent works in relational learning claimed that the phase transition phenomenon which may occur in the subsumption test during search acts as a plateau for the heuristic search, strongly hindering its efficiency. We further develop this point by proposing a learning prob...

Journal: :Journal of experimental child psychology 2014
Anna Samara Markéta Caravolas

The current study explored statistical learning processes in the acquisition of orthographic knowledge in school-aged children and skilled adults. Learning of novel graphotactic constraints on the position and context of letter distributions was induced by means of a two-phase learning task adapted from Onishi, Chambers, and Fisher (Cognition, 83 (2002) B13-B23). Following incidental exposure t...

Journal: :The Journal of bone and joint surgery. American volume 2012
W F M Jackson T Khan A Alvand S Al-Ali H S Gill A J Price J L Rees

BACKGROUND Previous studies of task-specific skills have suggested that a loss of technical performance occurs if the skill is not practiced for a six-month period. The aims of this study were to objectively demonstrate the learning curve for a complex arthroscopic task (meniscal repair) by means of motion analysis and to determine the impact of task repetition on the retention of this skill. ...

2003
Chen-Wen Yen Mark L. Nagurka

This paper proposes a method for the design of predictive controllers for nonlinear systems. The method consists of two phases, a solution phase and a learning phase. In the solution phase, dynamic programming is applied to obtain a closed-loop control law. In the learning phase, neural networks are used to simulate the control law. This phase overcomes the "curse of dimensionality" problem tha...

2010
Jérôme Rodrigues Hélène Sauzéon Gregory Wallet Bernard N'Kaoua

The aim of this study was to compare subjects’ spatial performance on a pedestrian route depending on three factors: (1) the type of learning environment (real vs. virtual); (2) the exploration mode during the learning phase (active vs. passive); and (3) the type of spatial test administered at retrieval (i.e., wayfinding, sketch mapping, and picture ordering). Moreover, each subject was tested...

Journal: :Physical review 2021

It is non-trivial to recognize phase transitions and track dynamics inside a stochastic process because of its intrinsic stochasticity. In this paper, we employ the deep learning method classify orders predict damping coefficient fluctuating systems under Langevin's description. As concrete set-up, demonstrate paradigm for scalar condensation in QCD matter near critical point, which order param...

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