Successfully explaining and replicating the complexity and generality of human and animal learning will require the integration of a variety of learning mechanisms. Here, we introduce a computational model which integrates associative learning (AL) and reinforcement learning (RL). We contrast the integrated model with standalone AL and RL models in three simulation studies. First, a synthetic g...

In this project, I applied machine learning techniques to perform multiclass classification on free agents by using game statistics, which is useful to evaluate players’ performances. To do so, I implemented and compared a collection of supervised and unsupervised learning algorithms on a dataset consisting of 282 free agent samples. No previous work was accessible, and depending on the feature...

Distance metric plays an important role in machine learning which is crucial to the performance of a range of algorithms. Metric learning, which refers to learning a proper distance metric for a particular task, has attracted much attention in machine learning. In particular, multi-task learning deals with the scenario where there are multiple related metric learning tasks. By jointly training ...

As the salaries of baseball players continue to skyrocket and with the ever-increasing popularity of fantasy baseball, the desire for more accurate predictions of players’ future performances is building both for baseball executives and baseball fans. While most existing work in performance prediction uses purely statistical methods, this thesis showcases research in combining multiple machine ...

Faced with a new concept to learn, our brain does not work in isolation. It uses all previously learned knowledge. In addition, the brain is able to isolate the knowledge that does not benefit us, and to use what is actually useful. In machine learning, we do not usually benefit from the knowledge of other learned tasks. However, there is a methodology called Multitask Learning (MTL), which is ...

the aim of the present study was to examine the hypothesis of the specificity of practice regarding training place (to determine whether learning a sport skill was specific to the training place). participants were 30 adolescent female students (mean age 11.50±1.50 years) who performed 10 sessions of learning perceptive-motor skill of kata in karate. after they finished kata sessions, retention...

Sequential decision-making tasks are commonplace in our everyday lives. We report the results of an experiment in which human subjects were trained to perform a perceptual matching task, an instance of a sequential decision-making task. We use two benchmarks to evaluate the quality of subjects’ learning. One benchmark is based on optimal performance as defined by a dynamic programming procedure...

the goal of facial animation is to synthesize realistic facial animated images using computer graphics. because of its capability in creating facial animated images using a few amount of information, facial animation using feature vectors was extensively studied in recent years. in general, this method is considered as one of the performance-driven facial animation base methods. in this regard,...