909 search results - page 34 / 182 » Human Discovery and Machine Learning |
ACSAC
1999
IEEE
15 years 2 months ago
1999
IEEE
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...
NAACL
2007
14 years 11 months ago
2007
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
ICTAI
2007
IEEE
15 years 4 months ago
2007
IEEE
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
IJCNLP
2005
Springer
15 years 3 months ago
2005
Springer
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object using not binary polarity (good or bad) b...
DEBU
2000
14 years 9 months ago
2000
A critical problem in developing information agents for the Web is accessing data that is formatted for human use. We have developed a set of tools for extracting data from web si...