The traditional field of Machine Learning is concerned with techniques for modifying the behavior of a computer agent over time in order to improve its usefulness to people. This problem has traditionally been formulated as an abstract mathematical problem of inducing a generalized function from assertions representing the "perceptions" or "experience" of the agent. This paper argues that this ...

The fuzzy information retrieval model was proposed some years ago to solve several limitations of the Boolean model without a need of a complete redesign of the information retrieval system. However, the complexity of the fuzzy query language makes it difficult to formulate user queries. Among other proposed approaches to solve this problem, we find the Inductive Query by Example (IQBE) framewo...

Retrieving information from the ever-increasing amount of unannotated audio and video recordings requires techniques such as unsupervised pattern discovery or query-by-example. In this paper we focus on queries that are specified in the form of an audio snippet containing the desired word or expression excised from the target recordings. The task is to retrieve alland-only the instances whose m...

In this paper, we describe the lessons we learned in developing AgentBuilder, a commercial system for rapidly creating agents that extract information from web sites. AgentBuilder employs a Programming-by-Example (PBE) paradigm, where users train the system by showing the system examples of web pages and the information to be extracted from these pages. The system uses a sophisticated machine l...

In this paper, we present our retrieving system for QUery by Example Search on Speech Task (QUESST), comprising the posteriorgram-based modeling approach along with the weighted fast sequential dynamic time warping algorithm (WFS-DTW). For this year, our main effort was directed toward developing language-dependent keyword matching system, utilizing all available information about spoken langua...