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» On the Complexity of Function Learning
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COLT
2007
Springer
15 years 7 months ago
How Good Is a Kernel When Used as a Similarity Measure?
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
Nathan Srebro
110
Voted
CLEIEJ
2002
156views more  CLEIEJ 2002»
15 years 17 days ago
A Fuzzy Model for Function Point Analysis to Development and Enhancement Project Assessments
Function Point Analysis (FPA) is among the most commonly used techniques to estimate the size of software system projects or software systems. During the point counting process th...
Osias de Souza Lima Júnior, Pedro Porf&iacu...
BMCBI
2008
100views more  BMCBI 2008»
15 years 25 days ago
High-precision high-coverage functional inference from integrated data sources
Background: Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of k...
Bolan Linghu, Evan S. Snitkin, Dustin T. Holloway,...
ICCV
2011
IEEE
14 years 23 days ago
Decision Tree Fields
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...
EDBT
2009
ACM
277views Database» more  EDBT 2009»
15 years 5 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...