In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this ...
In this paper, we present a technique for reducing the overhead of collecting path profiles in the context of a dynamic optimizer. The key idea to our approach, called Targeted Pa...
In this paper, we present an open-source program visualization tool, Jeliot 3. We discuss the design principles and philosophy that gave rise to this successful e-learning tool and...
Modeling dynamical systems, both for control purposes and to make predictions about their behavior, is ubiquitous in science and engineering. Predictive state representations (PSR...
Satinder P. Singh, Michael R. James, Matthew R. Ru...
A number of real-world domains such as social networks and e-commerce involve heterogeneous data that describes relations between multiple classes of entities. Understanding the n...