Graphic designers and other visual problem solving experts now routinely use computer-based imageediting tools in their work. Recently, attempts have been made to apply learning a...
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner...
- Developments in CS1 pedagogy seek to improve the capabilities of students in their understanding of how to write programs. This involves learning how to solve various types of pr...
Research on mobile robot navigation has produced two major paradigms for mapping indoorenvironments: grid-based and topological. While grid-based methods produce accurate metric m...