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AGENTS
1999
Springer
13 years 11 months ago
A Personal News Agent That Talks, Learns and Explains
Most work on intelligent information agents has thus far focused on systems that are accessible through the World Wide Web. As demanding schedules prohibit people from continuous ...
Daniel Billsus, Michael J. Pazzani
IUI
1999
ACM
13 years 12 months ago
Programming by Demonstration: An Inductive Learning Formulation
Although Programming by Demonstration (PBD) has the potential to improve the productivity of unsophisticated users, previous PBD systems have used brittle, heuristic, domain-speci...
Tessa A. Lau, Daniel S. Weld
ICML
1999
IEEE
13 years 12 months ago
Feature Engineering for Text Classification
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a single word. This paper examines some alternative ...
Sam Scott, Stan Matwin
ICML
1999
IEEE
13 years 12 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
ICML
1999
IEEE
13 years 12 months ago
Experiments with Noise Filtering in a Medical Domain
Dragan Gamberger, Nada Lavrac, Ciril Groselj
ACSAC
1999
IEEE
13 years 12 months ago
An Application of Machine Learning to Network Intrusion Detection
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
Chris Sinclair, Lyn Pierce, Sara Matzner
ECML
2000
Springer
13 years 12 months ago
Layered Learning
We examine how a network of many knowledge layers can be constructed in an on-line manner, such that the learned units represent building blocks of knowledge that serve to compres...
Peter Stone, Manuela M. Veloso
ECML
2000
Springer
13 years 12 months ago
Metric-Based Inductive Learning Using Semantic Height Functions
In the present paper we propose a consistent way to integrate syntactical least general generalizations (lgg's) with semantic evaluation of the hypotheses. For this purpose we...
Zdravko Markov, Ivo Marinchev
ECML
2000
Springer
13 years 12 months ago
Learning Context-Free Grammars with a Simplicity Bias
We examine the role of simplicity in directing the induction of context-free grammars from sample sentences. We present a rational reconstruction of Wol 's SNPR { the Gridssys...
Pat Langley, Sean Stromsten
ECML
2000
Springer
13 years 12 months ago
A Multiple Model Cost-Sensitive Approach for Intrusion Detection
Wei Fan, Wenke Lee, Salvatore J. Stolfo, Matthew M...