Heterogeneous Multi-task Learning of Evaluation Functions for Chess and Shogi

2018 ◽  
pp. 347-358
Author(s):  
Shanchuan Wan ◽  
Tomoyuki Kaneko
Keyword(s):  
Task Learning ◽  
Evaluation Functions

Backwards Fading to Speed Task Learning

2013 ◽  
Author(s):  
Peter S. Schaefer ◽  
Clinton R. Irvin ◽  
Paul N. Blankenbeckler ◽  
C. J. Brogdon
Keyword(s):  
Task Learning ◽  
Speed Task

Multi-Task Learning Using Mismatched Transcription for Under-Resourced Speech Recognition

2017 ◽  
Author(s):  
Van Hai Do ◽  
Nancy F. Chen ◽  
Boon Pang Lim ◽  
Mark Hasegawa-Johnson
Keyword(s):  
Speech Recognition ◽  
Task Learning

Multi-Task Learning for Voice Related Recognition Tasks

2020 ◽  
Author(s):  
Ana Montalvo ◽  
Jose R. Calvo ◽  
Jean-François Bonastre
Keyword(s):  
Task Learning

Sound Event Localization and Detection Based on Multiple DOA Beamforming and Multi-Task Learning

2020 ◽  
Author(s):  
Wei Xue ◽  
Ying Tong ◽  
Chao Zhang ◽  
Guohong Ding ◽  
Xiaodong He ◽  
...  
Keyword(s):  
Task Learning ◽  
Sound Event ◽  
Event Localization

Evaluation functions for integral mapping

2017 ◽  
Vol 921 (3) ◽  
pp. 24-29 ◽  
Author(s):  
S.I. Lesnykh ◽  
A.K. Cherkashin
Keyword(s):  
Principal Component Analysis ◽  
Environmental Factors ◽  
Principal Components ◽  
Principal Component ◽  
Evaluation Function ◽  
Final Value ◽  
Evaluation Functions ◽  
Geographical Environment ◽  
Environmental Background ◽  
Integral Mapping

The proposed procedure of integral mapping is based on calculation of evaluation functions on the integral indicators (II) taking into account the feature of the local geographical environment, when geosystems in the same states in the different environs have various estimates. Calculation of II is realized with application of a Principal Component Analysis for processing of the forest database, allowing to consider in II the weight of each indicator (attribute). The final value of II is equal to a difference of the first (condition of geosystem) and the second (condition of environmental background) principal components. The evaluation functions are calculated on this value for various problems of integral mapping. The environmental factors of variability is excluded from final value of II, therefore there is an opportunity to find the invariant evaluation function and to determine coefficients of this function. Concepts and functions of the theory of reliability for making the evaluation maps of the hazard of functioning and stability of geosystems are used.

scholarly journals Theta but not beta power is positively associated with better explicit motor task learning

NeuroImage ◽  
2021 ◽  
pp. 118373
Author(s):  
Joris van der Cruijsen ◽  
Mana Manoochehri ◽  
Zeb D. Jonker ◽  
Eleni-Rosalina Andrinopoulou ◽  
Maarten A. Frens ◽  
...  
Keyword(s):  
Motor Task ◽  
Task Learning ◽  
Beta Power
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