Deep Learning Localization Algorithm Integrating Attention Mechanism in Database Information Query

Integrating Deep Learning and Multiple Instance Learning

Attention Guided Deep Imitation Learning

When a learning agent attempts to imitate human visuomotor behaviors, it may benefit from knowing the human demonstrator’s visual attention. Such information could clarify the goal of the demonstrator, i.e., the object being attended is the most likely target of the current action. Hence it could help the agent better infer and learn the demonstrator’s underlying state representation for decisi...

A Hybrid Optimization Algorithm for Learning Deep Models

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...

Improving Stock Return Forecasting by Deep Learning Algorithm

Improving return forecasting is very important for both investors and researchers in financial markets. In this study we try to aim this object by two new methods. First, instead of using traditional variable, gold prices have been used as predictor and compare the results with Goyal's variables. Second, unlike previous researches new machine learning algorithm called Deep learning (DP) has bee...

A Hybrid Optimization Algorithm for Learning Deep Models

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...