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Academic Journal

Application of machine-learning methods in forest ecology: recent progress and future challenges.

Authors : Liu, Zelin¹; Peng, Changhui^1,2 ; Work, Timothy^1,3

Source: Environmental Reviews. 2018, Vol. 26 Issue 4, p339-350. 12p.

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Academic Journal

Opening the Black Box: A practitioner's guide to Artificial Intelligence and Machine Learning in assessment (Part 2).

Authors : Abrahams, Mark^1,2; Bao Sheng (Aiden) Loe³; Riley, Philippa⁴

Source: Assessment & Development Matters. Autumn2018, Vol. 10 Issue 3, p30-33. 4p.

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Academic Journal

Inverse molecular design using machine learning: Generative models for matter engineering.

Authors : Sanchez-Lengeling, Benjamin (AUTHOR); Aspuru-Guzik, Alán (AUTHOR)

Source: Science (pre-March 2025). 7/27/2018, Vol. 361 Issue 6400, p360-365. 6p. 4 Diagrams.

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Academic Journal

Predicting reaction performance in C–N cross-coupling using machine learning.

Authors : Ahneman, Derek T. (AUTHOR); Estrada, Jesús G. (AUTHOR); Lin, Shishi (AUTHOR)

Source: Science (pre-March 2025). 4/13/2018, Vol. 360 Issue 6385, p186-190. 5p. 1 Color Photograph, 3 Diagrams.

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Academic Journal

Opening the Black Box: A practitioner's guide to Artificial Intelligence and Machine Learning in assessment (Part 1).

Authors : Bao Sheng (Aiden) Loe¹; Abrahams, Mark²; Riley, Philippa³

Source: Assessment & Development Matters. Summer2018, Vol. 10 Issue 2, p29-33. 5p.

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Academic Journal

All-optical machine learning using diffractive deep neural networks.

Authors : Lin, Xing¹; Rivenson, Yair; Yardimci, Nezih T.

Source: Science (pre-March 2025). 9/7/2018, Vol. 361 Issue 6406, p1004-1008. 5p. 2 Color Photographs, 6 Diagrams.

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Academic Journal

Predicting Language Difficulties in Middle Childhood From Early Developmental Milestones: A Comparison of Traditional Regression and Machine Learning Techniques.

Authors : Armstrong, Rebecca^1,2,3 ; Symons, Martyn^4,5; Scott, James G.^2,6

Source: Journal of Speech, Language & Hearing Research. Aug2018, Vol. 61 Issue 8, p1926-1944. 19p. 2 Diagrams, 8 Charts.

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Academic Journal

A step towards intelligent EBSD microscopy: machine‐learning prediction of twin activity in MgAZ31.

Authors : SHARMA, RISHABH^1,2; CHELLADURAI, ISAAC²; ORME, ANDREW D.²

Source: Journal of Microscopy. Oct2018, Vol. 272 Issue 1, p67-78. 12p. 2 Color Photographs, 3 Diagrams, 4 Charts, 1 Graph.

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Academic Journal

Implied volatility parameterization based on a machine learning polynomial approach.

Authors : Jobejarkol, Mostafa Pouralizadeh¹; Badamchizadeh, Abdolrahim¹ .; Morales, Manuel²

Source: Intelligent Data Analysis. 2018, Vol. 22 Issue 5, p1127-1141. 15p.

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Academic Journal

A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA.

Authors : Ülke, Volkan¹ ; Sahin, Afsin² ; Subasi, Abdulhamit³

Source: Neural Computing & Applications. Sep2018, Vol. 30 Issue 5, p1519-1527. 9p.

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فلترة النتائج

Application of machine-learning methods in forest ecology: recent progress and future challenges.

Opening the Black Box: A practitioner's guide to Artificial Intelligence and Machine Learning in assessment (Part 2).

Inverse molecular design using machine learning: Generative models for matter engineering.

Predicting reaction performance in C–N cross-coupling using machine learning.

Opening the Black Box: A practitioner's guide to Artificial Intelligence and Machine Learning in assessment (Part 1).

All-optical machine learning using diffractive deep neural networks.

Predicting Language Difficulties in Middle Childhood From Early Developmental Milestones: A Comparison of Traditional Regression and Machine Learning Techniques.

A step towards intelligent EBSD microscopy: machine‐learning prediction of twin activity in MgAZ31.

Implied volatility parameterization based on a machine learning polynomial approach.

A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA.

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