In many real-world applications, such as image retrieval, it would be natural to measure the distances from one instance to others using instance specific distance which captures ...
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Expanding a seed set into a larger community is a common procedure in link-based analysis. We show how to adapt recent results from theoretical computer science to expand a seed s...
TYPERIGHT is a new tactile input device for text entry. It combines the advantages of tactile feedback with error prevention methods of word processors. TYPERIGHT extends the stan...
Alexander Hoffmann, Daniel Spelmezan, Jan O. Borch...