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ICML
2004
IEEE
16 years 7 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
203
Voted
PAA
2002
15 years 5 months ago
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
CCCG
2008
15 years 7 months ago
The Solution Path of the Slab Support Vector Machine
Given a set of points in a Hilbert space that can be separated from the origin. The slab support vector machine (slab SVM) is an optimization problem that aims at finding a slab (...
Joachim Giesen, Madhusudan Manjunath, Michael Eige...
NN
2000
Springer
161views Neural Networks» more  NN 2000»
15 years 5 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
183
Voted
ACMDIS
2006
ACM
16 years 3 days ago
Staying open to interpretation: engaging multiple meanings in design and evaluation
Human-Computer Interaction (HCI) often focuses on how designers can develop systems that convey a single, specific, clear interpretation of what they are for and how they should b...
Phoebe Sengers, Bill Gaver