Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
There are many applications for Secure Multi-Party Computation (SMC), but practical adoption is still an issue. One reason is that the business model of the application does not m...
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Complex and data-intensive database queries mandate parallel processing strategies to achieve sufficiently short response times. In praxis, parallel database processing is mostly b...