The usual loss function used in deep learning for multi-class classification is the logarithmic loss. In this paper we explore the direct use of a weighted kappa loss function for multi-class classification of ordinal data, also known as ordinal regression. Three classification problems are solved...
Finally, the network uses the efficient Adam gradient descent optimization algorithm with a logarithmic loss function, which is called “categorical_crossentropy” in Keras. ... # define baseline model def baseline_model(): # create model model = Sequential() model.add(Dense(8, input_dim=4, ...
First, a histology image is converted to its OD values using the logarithmic transformation. Then, singular value decomposition (SVD) is applied to OD tuples to obtain a two-dimensional plane corresponding to the two largest singular values. Next, these OD-transformed pixels are projected onto ...
Logarithmic Time Online Multiclass prediction. In Neural Information Processing Systems 2015; Neural Information Processing Systems Foundation, Inc.: Vancouver, BC, Canada, 2015. [Google Scholar] Schapire, R.E.; Freund, Y. Boosting: Foundations and Algorithms; The MIT Press: Cambridge, MA, USA, ...
Logarithmic Time Online Multiclass prediction. In Neural Information Processing Systems 2015; Neural Information Processing Systems Foundation, Inc.: Vancouver, BC, Canada, 2015. [Google Scholar] Schapire, R.E.; Freund, Y. Boosting: Foundations and Algorithms; The MIT Press: Cambridge, MA, USA, ...
Logarithmic Time Online Multiclass prediction. In Neural Information Processing Systems 2015; Neural Information Processing Systems Foundation, Inc.: Vancouver, BC, Canada, 2015. [Google Scholar] Schapire, R.E.; Freund, Y. Boosting: Foundations and Algorithms; The MIT Press: Cambridge, MA, USA, ...
The model predicts diameter distributions transition from exponential (J inverse), logarithmic to well-balanced distributions with increasing mean stand diameter at breast height. Pine diameter distributions transition faster and the model predicts independent growth rates between pines and oaks. The stand-...