Besides search, complete inference methods can also be used to solve soft constraint problems. Their main drawback is the high spatial complexity. To improve its practical usage, w...
In this paper, we propose an architecture for floatingpoint based LU decomposition for large-sized matrices. Our proposed architecture is based on the well known concept of blocki...
Gokul Govindu, Viktor K. Prasanna, Vikash Daga, Sr...
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
We present worst case bounds for the learning rate of a known prediction method that is based on hierarchical applications of binary context tree weighting (CTW) predictors. A heu...
This paper examines a decision-tree framework for instance-space decomposition. According to the framework, the original instance-space is hierarchically partitioned into multiple...