Results 41 to 50 of about 22,610 (167)

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Robust Multilingual Part-of-Speech Tagging via Adversarial Training

, 2018
Adversarial training (AT) is a powerful regularization method for neural networks, aiming to achieve robustness to input perturbations. Yet, the specific effects of the robustness obtained from AT are still unclear in the context of natural language ...
Kasai, Jungo, Radev, Dragomir, Yasunaga, Michihiro   +2 more
core   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization

, 2019
Existing methods for CWS usually rely on a large number of labeled sentences to train word segmentation models, which are expensive and time-consuming to annotate.
Cai Deng, Chen Xinchi, Chen Xinchi, Dauphin Yann, Ganchev Kuzman, Lafferty John D., Levow Gina-Anne, Liu Junxin, Liu Yijia, Low Jin Kiat, Luo Wencan, Pei Wenzhe, Sun Weiwei, Xu Jingjing, Xue Nianwen, Yang Jie, Zhang Jiacheng, Zhang Meishan, Zhang Qi, Zhang Yanna, Zhao Hai, Zhao Hai, Zhao Lujun, Zheng Xiaoqing   +23 more
core   +1 more source

Verbal Working Memory Is Related to the Acquisition of Cross-Linguistic Phonological Regularities [PDF]

Frontiers in Psychology, 2017
Closely related languages share cross-linguistic phonological regularities, such as Frisian -âld [ͻ:t] and Dutch -oud [ʱut], as in the cognate pairs kâld [kͻ:t] - koud [kʱut] 'cold' and wâld [wͻ:t] - woud [wʱut] 'forest'. Within Bybee's (1995, 2001, 2008, 2010) network model, these regularities are, just like grammatical rules within a language ...
Evelyn Bosma, Evelyn Bosma, Evelyn Bosma, Wilbert Heeringa, Eric Hoekstra, Arjen Versloot, Arjen Versloot, Elma Blom   +7 more
openaire   +7 more sources

Targeted Trade Policy Instruments and Climate Change Mitigation: The Case of Environmental Provisions in Trade Agreements

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT This article examines the effect of including environmental provisions (EPs) in preferential trade agreements (PTAs) on climate change mitigation and explores whether these effects vary based on the heterogeneity of the EPs. Our analysis combines country‐level data on climate change mitigation with details on 300 types of EPs in 775 trade ...
Petros Suzgo Kayovo Mkandawire, Dela‐Dem Doe Fiankor, Bernhard Brümmer   +2 more
wiley   +1 more source

Reconstructing Old Chinese *‐ts Using Han‐Time Material

Transactions of the Philological Society, EarlyView.
Abstract Baxter & Sagart (2014b) reconstruct *‐Vt‐s on the basis of Middle Chinese reflexes in ‐jH (from some OC *‐s) coupled with either etymological or graphic connections to words in Middle Chinese ‐t. This approach, while perfectly sound, can suffer from lack of etymological or graphic data, leading to missed reconstructions. Since Old Chinese *‐ts
Julien Baley
wiley   +1 more source

Trait coevolution and causal inference using generalized dynamic phylogenetic models

Methods in Ecology and Evolution, EarlyView.
Abstract Phylogenetic comparative methods are widely used to study trait coevolution across biological and cultural domains. The most common methods are phylogenetic generalized linear (mixed) models, phylogenetic path analysis, Pagel's ‘discrete’ method and Ornstein–Uhlenbeck models. While some frameworks like generalized linear mixed models are quite
Erik J. Ringen, Scott Claessens, Jordan S. Martin, Adrian V. Jaeggi   +3 more
wiley   +1 more source

Cross-linguistic regularities and learner biases reflect “core” mechanics

PLOS ONE, 2018
Recent research in infant cognition and adult vision suggests that the mechanical object relationships may be more salient and naturally attention grabbing than similar but non-mechanical relationships. Here we examine two novel sources of evidence from language related to this hypothesis.
Brent Strickland, Emmanuel Chemla
openaire   +4 more sources

The Power of Professional Expertise: Unravelling the Boardroom Diversity Puzzle Through a Machine Learning Approach

Accounting &Finance, EarlyView.
ABSTRACT This study examines how board expertise diversity influences firm performance using a novel machine learning approach to classify directors' professional backgrounds. Drawing on data from Spanish listed firms, we develop multidimensional expertise profiles that capture multiple skills held by each director.
Fernando Hernández‐Atienza, Juan Antonio Rodríguez‐Sanz, Benjamín Sahelices, Fernando Tejerina‐Gaite, César Vaca   +4 more
wiley   +1 more source