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AAAI
2007
15 years 7 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
IEEEMSP
2002
IEEE
15 years 10 months ago
Musical query-by-description as a multiclass learning problem
Abstract—We present the query-by-description (QBD) component of “Kandem,” a time-aware music retrieval system. The QBD system we describe learns a relation between descriptiv...
Brian Whitman, Ryan M. Rifkin
LREC
2008
110views Education» more  LREC 2008»
15 years 7 months ago
Cost-Sensitive Learning in Answer Extraction
One problem of data-driven answer extraction in open-domain factoid question answering is that the class distribution of labeled training data is fairly imbalanced. This imbalance...
Michael Wiegand, Jochen L. Leidner, Dietrich Klako...
AAAI
2011
14 years 5 months ago
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong H...
SISW
2005
IEEE
15 years 11 months ago
Towards Protecting Sensitive Files in a Compromised System
Protecting sensitive files from a compromised system helps administrator to thwart many attacks, discover intrusion trails, and fast restore the system to a safe state. However, ...
Xin Zhao, Kevin Borders, Atul Prakash