In this paper, we present Committee, a new multi-class learning algorithm related to the Winnow family of algorithms. Committee is an algorithm for combining the predictions of a set of sub-experts in the online mistake-bounded model of learning. A sub-expert is a special type of attribute that predicts with a distribution over a finite number of classes. Committee learns a linear function of s...

introduction: today, with increasing emphasis on learning organizations, knowledge and learning are considered important factors in organizations and having updated knowledge and information have become an unavoidable necessity to continue the life and stability of these organizations. hence this study was conducted to study  the relationship between learning organization & leadership styles ed...

We present a regret-based multiagent learning algorithm which is provably guaranteed to converge (during self-play) to the set of Nash equilibrium in a wide class of games. Our algorithm, FRAME, consults experts in order to obtain strategy suggestions for agents. If the experts provide effective advice for the agent, then the learning process will quickly reach a desired outcome. If, however, t...

in the current turbulent environment, sustainable organizational success cannot be achieved without considering organizational learning. due to the global pressures, higher education institutions including agriculture colleges should turn to learning organizations to face the challenges ahead. hence, the purpose of this descriptive correlational study is to investigate organizational learning a...

BACKGROUND Different video-laryngoscopes (VDLs) for endotracheal intubation (ETI) have recently been developed. We compared the performance of the VDL Airway Scope (AWS) with the direct laryngoscopy by Macintosh (DLM) for ETI success, time and learning. METHODS We performed an experimental manikin controlled study. Twenty experienced (experts) and 40 inexperienced operators (novices) for DLM-...

Machine Learning techniques can automatically extract information from a variety of multimedia sources, e.g., image, text, sound, video. But it produces imperfect results since the multimedia content can be misinterpreted. Machine Learning errors are commonly measured using confusion matrices. They encode type I and II errors for each class of information to extract. Non-expert users encounter ...

Processes responsible for improvements in motor performance are often contrasted in an explicit and an implicit part. Explicit learning enables task success by using strategic (declarative) knowledge. Implicit learning refers to a change in motor performance without conscious effort. In this study, we tested the contribution of explicit and implicit processes in a visuomotor adaptation task in ...

A central issue in cognitive science is understanding how learning induces cognitive and neural plasticity, which helps illuminate the biological basis of learning. Research in the past few decades showed that action video gaming (AVG) offered new, important perspectives on learning-related cognitive and neural plasticity. However, it is still unclear whether cognitive and neural plasticity is ...

In machine learning, hyperparameter optimization is a challenging but necessary task that is usually approached in a computationally expensive manner such as grid-search. Out of this reason, surrogate based black-box optimization techniques such as sequential model-based optimization have been proposed which allow for a faster hyperparameter optimization. Recent research proposes to also integr...