Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Gouza, Fisher B."'
Programming has been an important skill for researchers and practitioners in computer science and other related areas. To learn basic programing skills, a long-time systematic training is usually required for beginners. According to a recent market r
Externí odkaz:
http://arxiv.org/abs/1805.08747
Autor:
Zhang, Jiawei, Gouza, Fisher B.
Deep neural network learning can be formulated as a non-convex optimization problem. Existing optimization algorithms, e.g., Adam, can learn the models fast, but may get stuck in local optima easily. In this paper, we introduce a novel optimization a
Externí odkaz:
http://arxiv.org/abs/1805.07500
In this paper, we aim at introducing a new machine learning model, namely reconciled polynomial machine, which can provide a unified representation of existing shallow and deep machine learning models. Reconciled polynomial machine predicts the outpu
Externí odkaz:
http://arxiv.org/abs/1805.07507
In this paper, we propose to provide a general ensemble learning framework based on deep learning models. Given a group of unit models, the proposed deep ensemble learning framework will effectively combine their learning results via a multilayered e
Externí odkaz:
http://arxiv.org/abs/1805.07502
In this paper, we introduce an alternative approach, namely GEN (Genetic Evolution Network) Model, to the deep learning models. Instead of building one single deep model, GEN adopts a genetic-evolutionary learning strategy to build a group of unit mo
Externí odkaz:
http://arxiv.org/abs/1805.07508
Deep learning, a rebranding of deep neural network research works, has achieved a remarkable success in recent years. With multiple hidden layers, deep learning models aim at computing the hierarchical feature representations of the observational dat
Externí odkaz:
http://arxiv.org/abs/1803.08631