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GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 3 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
MM
2006
ACM
158views Multimedia» more  MM 2006»
15 years 3 months ago
Extreme video retrieval: joint maximization of human and computer performance
We present an efficient system for video search that maximizes the use of human bandwidth, while at the same time exploiting the machine’s ability to learn in real-time from use...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...
77
Voted
ICALT
2005
IEEE
15 years 3 months ago
Empirical Validation of Concept Maps: Preliminary Methodological Considerations
For their usage in the semantic web, valid ontologies are required for a given domain. Here we focus on ontologies represented as concept maps (semantic nets). For one and the sam...
Dietrich Albert, Christina M. Steiner
MM
2005
ACM
172views Multimedia» more  MM 2005»
15 years 3 months ago
Learning the semantics of multimedia queries and concepts from a small number of examples
In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
Apostol Natsev, Milind R. Naphade, Jelena Tesic
80
Voted
COLT
1999
Springer
15 years 1 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon