This paper surveys locally weighted learning, a form of lazy learning and memory-based
learning, and focuses on locally weighted linear regression. The survey discusses distance …

Case-Based Reasoning (CBR) is a relatively recent problem solving technique that is
attracting increasing attention. However, the number of people with first-hand theoretical or …

In this paper, we describe the concept of music scene description and address the problem
of detecting melody and bass lines in real-world audio signals containing the sounds of …

This paper describes a real-time beat tracking system that recognizes a hierarchical beat
structure comprising the quarter-note, half-note, and measure levels in real-world audio …

This article proposes a new grand challenge for AI reasearch: to develop AI system to make
major scientific discoveries in biomedical sciences that worth Nobel Prize. There are a …

We describe the IGTree learning algorithm, which compresses an instance base into a tree
structure. The concept of information gain is used as a heuristic function for performing this …

Instance based reasoning systems and in general case based reasoning systems are
normally used in problems for which it is difficult to define rules. Instance based reasoning is …

The demand prediction on emergency resources is the premise and basis of optimal
allocation of emergency resources. Nowadays, there are only few researches on this aspect …

In this paper, we propose a new neural architecture called PerAc witch is a systematic way
to decompose the control of an autonomous robot in perception and action flows. The PerAc …

This chapter presents the main issues and our solutions to the problem of understanding
musical audio signals at the beat level, issues which are common to more general auditory …