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ML
2010
ACM
127views Machine Learning» more  ML 2010»
13 years 3 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
ICCV
2011
IEEE
12 years 5 months ago
Annotator Rationales for Visual Recognition
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Jeff Donahue, Kristen Grauman
IUI
2000
ACM
13 years 9 months ago
Creating an empirical basis for adaptation decisions
CT How can an adaptive intelligent interface decide what particular action to perform in a given situation, as a function of perceived properties of the user and the situation? Ide...
Anthony Jameson, Barbara Großmann-Hutter, Le...
ER
2006
Springer
96views Database» more  ER 2006»
13 years 9 months ago
Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling
: Data Provenance refers to the lineage of data including its origin, key events that occur over the course of its lifecycle, and other details associated with data creation, proce...
Sudha Ram, Jun Liu
AICOM
2002
103views more  AICOM 2002»
13 years 5 months ago
The emergent computational potential of evolving artificial living systems
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...
Jirí Wiedermann, Jan van Leeuwen