Results 231 to 240 of about 131,003 (284)

Comparative Analysis of Naive Bayes and Tree Augmented Naive Bayes Models

, 2019
openaire   +2 more sources

Do robots boost productivity? A quantitative meta‐study

Journal of Economic Surveys, EarlyView.
ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
wiley   +1 more source

Epigenetic analyses suggest different pathways during pregnancy for development of Type 1 diabetes in children with high versus low‐neutral human leukocyte antigen‐risk

Journal of Internal Medicine, EarlyView.
Abstract Background and objective The development of Type 1 diabetes (T1D) is shaped by genetic predisposition and epigenetic regulation. Human leukocyte antigen (HLA) risk alleles are major genetic determinants, but the epigenetic landscape in relation to disease onset remains unclear.
Shamila D. Alipoor, Angelica Ahrens, Julia Åkesson, Thomas Hillerton, Mika Gustafsson, Maria Lerm, Johnny Ludvigsson   +6 more
wiley   +1 more source

A Theory of Leadership Meta‐Talk and the Talking‐Doing Gap

Journal of Management Studies, EarlyView.
Abstract We identify managers' meta‐level talk about the positive purpose, meaning, and significance of their actions as an overlooked type of leadership behaviour and call it leadership meta‐talk. We outline why leadership meta‐talk is not necessarily truthful or deceptive, but selective and loosely coupled with leadership practice.
Thomas Fischer, Mats Alvesson
wiley   +1 more source

Disentangling the Leadership Theory Jungle: A Reconciliation of Bright and Dark Side Leadership Theories

Journal of Management Studies, EarlyView.
Abstract The literature on the relationship between leader behaviours and effectiveness is a jungle of complementary yet often conflicting leadership theories that perplexes researchers and practitioners alike, as indicated by various theories of bright and dark side leadership (i.e., leader behaviours reflecting widely considered positive and negative
Jianyun Tang, Mary Crossan
wiley   +1 more source

Predicting suggestive questioning from cognitions and emotions about child sexual abuse across three study paradigms

Legal and Criminological Psychology, EarlyView.
Abstract Purpose Although interviews are individual in nature, and suggestiveness is a major pitfall when questioning children, individual differences in interviewer bias and suggestiveness remain understudied. We assessed relationships between Cognitions and Emotions about Child Sexual Abuse (CECSA) with suggestive questioning and bias across three ...
Elsa Gewehr, Marie Merschhemke, Simone Pülschen, Dietrich Pülschen, Renate Volbert   +4 more
wiley   +1 more source

Endogenous Distress Contagion in a Dynamic Interbank Model: How Possible Future Losses May Spell Doom Today

Mathematical Finance, EarlyView.
ABSTRACT We introduce a dynamic and stochastic interbank model with an endogenous notion of distress contagion, arising from rational worries about future defaults and ensuing losses. This entails a mark‐to‐market valuation adjustment for interbank claims, leading to a forward‐backward approach to the equilibrium dynamics whereby future default ...
Zachary Feinstein, Andreas Søjmark
wiley   +1 more source

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A novel Naive Bayes model: Packaged Hidden Naive Bayes

2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, 2011
Naive Bayes classifier has good performance on many datasets, however, the performance is very poor on some datasets which have a strong correlation between attributes due to the conditional independence assumption is not always true in the real world. In the latest Hidden Naive Bayes (HNB) algorithm, each attribute corresponds to a hidden parent which
Yaguang Ji, Songnian Yu, Yafeng Zhang
openaire   +1 more source

Collaboratively weighted naive Bayes

Knowledge and Information Systems, 2021
Naive Bayes (NB) was once awarded as one of the top 10 data mining algorithms, but the unreliable probability estimation and the unrealistic attribute conditional independence assumption limit its performance. To alleviate these two primary weaknesses simultaneously, instance and attribute weighting has been recently proposed.
Huan Zhang, Liangxiao Jiang, Chaoqun Li
openaire   +1 more source

Naive Bayes Investing

2021
With the help of the Naive Bayes classifier, this master thesis attempts to generate a trading strategy that outperforms the returns of two selected stock markets, the German (DAX) and the American (S&P 500) stock market, over a period ranging from 2004 to 2019. Trading decisions are made based on the a-posteriori probabilities derived based on the
openaire   +2 more sources