4930 search results - page 296 / 986 » Learning minimal abstractions |
172
click to vote
ACL
2009
15 years 4 months ago
2009
This paper presents a novel metric-based framework for the task of automatic taxonomy induction. The framework incrementally clusters terms based on ontology metric, a score indic...
175
click to vote
IROS
2008
IEEE
16 years 1 months ago
2008
IEEE
Abstract— In their interactions with the world robots inevitably face equivalent action choices, situations in which multiple actions are equivalently applicable. In this paper, ...
178
click to vote
MLDM
2005
Springer
16 years 6 days ago
2005
Springer
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
176
click to vote
DSMML
2004
Springer
16 years 3 days ago
2004
Springer
Abstract. We present an SVM-based learning algorithm for information extraction, including experiments on the influence of different algorithm settings. Our approach needs fewer ...
208
click to vote
PKDD
2004
Springer
16 years 2 days ago
2004
Springer
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...