Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Informative labeling schemes consist in labeling the nodes of graphs so that queries regarding any two nodes (e.g., are the two nodes adjacent?) can be answered by inspecting mere...
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Aggressive scaling increases the number of devices we can integrate per square millimeter but makes it increasingly difficult to guarantee that each device fabricated has the inte...
We propose two methods for constructing automated programs for extraction of information from a class of web pages that are very common and of high practical significance - varia...