What modes and domains of knowledge about data production processes are most critical for producing high-quality data? This study provides an answer to this question. Data are coll...
This paper presents an interactive method for building a controller for dynamic systems by using a combination of knowledge acquisition and machine learning techniques. The aim is...
Generating production-quality plans is an essential element in transforming planners from research tools into real-world applications. However most of the work to date on learning...
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...