We investigate the task of unsupervised constituency parsing from bilingual parallel corpora. Our goal is to use bilingual cues to learn improved parsing models for each language ...
Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
Joel Veness, Kee Siong Ng, Marcus Hutter, William ...
Emerging robotic technologies are enabling the control of individual seats on rollercoasters and other thrill rides. We explore the potential of breathing as an effective and enga...
Joe Marshall, Duncan Rowland, Stefan Rennick Eggle...
We study the relationship between student carelessness and affect among high-school students using a Cognitive Tutor for Scatterplots, using a machine-learned detector of carelessn...
Maria Ofelia Clarissa Z. San Pedro, Ma. Mercedes T...