Making request flow tracing an integral part of software systems creates the potential to better understand their operation. The resulting traces can be converted to perrequest graphs of the work performed by a service, representing the flow and timing of each request’s processing. Collectively, these graphs contain detailed and comprehensive data about the system’s behavior and the workload th...

Advances in marker-less motion capture technology now allow the accurate replication of facial motion and deformation in computer-generated imagery (CGI). A forced-choice discrimination paradigm using such CGI facial animations showed that human observers can categorize identity solely from facial motion cues. Animations were generated from motion captures acquired during natural speech, thus e...

We classify mutual funds using cluster analysis and examine whether the categories created by clusters are the same as those assigned by the invest ment objectives Since mutual funds are usually classi ed based on their investment objectives clustering funds based on their nancial characteris tics rather than their investment objectives could explain why some mutual funds do not perform accordi...

We outline some criteria by which to compare unsupervised relational learning algorithms, and illustrate these criteria with reference to three examples: SUBDUE, relational association rules (WARMR), and Probabilistic Relational Models. For each algorithm we ask, What form of input data does it require? What form of output does it produce? Can the output be used to make predictions about unseen...

Di erent users can use a given Internet application in many different ways. The ability to record detailed event logs of user inapplication activity allows us to discover ways in which the application is being used. This enables personalization and also leads to important insights with actionable business and product outcomes. Here we study the problem of user session categorization, where the ...

The categorization process of information from pure data or learned in unsupervised artificial neural networks is still manual, especially in the labeling phase. Such a process is fundamental to knowledge representation [6], especially for symbol-based systems like logic, natural language processing and textual information retrieval. Unfortunately, applying categorization theory in large volume...

In practice the robotic manipulators present some degree of unwanted vibrations. The advent of lightweight arm manipulators, mainly in the aerospace industry, where weight is an important issue, leads to the problem of intense vibrations. On the other hand, robots interacting with the environment often generate impacts that propagate through the mechanical structure and produce also vibrations....

A graphic categorizing his major health policies appears here.