Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Publication
RTSMate: Towards an Advice System for RTS Games
Publication
Neural Networks and Genetic Algorithms
Project
Filter Forests for Learning Data-Dependent Convolutional Kernels
We propose ‘filter forests’ (FF), an efficient new discriminative approach for predicting continuous variables given a signal and its context. FF can be used for general signal restoration tasks that can be tackled via convolutional…