General Game Playing is the problem of designing an agent capable of playing any previously unknown game when given only the rules. This paper describes the implementation archite...
We provide an overview of Vector Symbolic Architectures (VSA), a class of structured associative memory models that offers a number of desirable features for artificial general int...
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...