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GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 10 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
ASPDAC
2001
ACM
83views Hardware» more  ASPDAC 2001»
15 years 10 months ago
Trace-driven system-level power evaluation of system-on-a-chip peripheral cores
Our earlier work for fast evaluation of power consumption of general cores in a system-on-a-chip described techniques that involved isolating high-level instructions of a core, me...
Tony Givargis, Frank Vahid, Jörg Henkel
AAAI
2008
15 years 9 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
AAAI
2007
15 years 9 months ago
Learning Language Semantics from Ambiguous Supervision
This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
Rohit J. Kate, Raymond J. Mooney
FLAIRS
2007
15 years 9 months ago
A Linguistically-Based Segmentation of Complex Sentences
The paper describes a method of dividing complex sentences into segments, easily detectable and linguistically motivated units, which may provide a basis for further processing of...
Vladislav Kubon, Markéta Lopatková, ...