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NIPS
2001
15 years 8 months ago
On the Generalization Ability of On-Line Learning Algorithms
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
NIPS
2001
15 years 8 months ago
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
Roni Khardon, Dan Roth, Rocco A. Servedio
IADIS
2003
15 years 8 months ago
Building Semantic-Rich Patterns for Extracting Features from Events of an On-Line Newspaper
To extract features from an event in an on-line newspaper, two major steps are involved: Extracting the free formatted events’ announcements from the web sites and (b) extractin...
Ray R. Hashemi, Charles Ford, Ashish Bansal, Steph...
PICS
2001
15 years 8 months ago
Dot Placement Analysis Using a Line Scan Camera and Rigid Body Rotation
Printer manufacturers design print heads and halftone patterns to result in specific types of image characteristics. Many image quality artifacts are a result of differences in ac...
Yair Kipman, Kate Johnson
SDM
2004
SIAM
142views Data Mining» more  SDM 2004»
15 years 8 months ago
Learning to Read Between the Lines: The Aspect Bernoulli Model
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
Ata Kabán, Ella Bingham, T. Hirsimäki