Sciweavers

4622 search results - page 75 / 925
» Foundations of Information Theory
Sort
View
FOCI
2007
IEEE
15 years 4 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 2 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
SODA
2003
ACM
142views Algorithms» more  SODA 2003»
14 years 11 months ago
The similarity metric
—A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied. We propose a new “normalized in...
Ming Li, Xin Chen, Xin Li, Bin Ma, Paul M. B. Vit&...
WSC
1997
14 years 11 months ago
Model-Driven Simulation of World-Wide-Web Cache Policies
The World Wide Web (WWW) has experienced a dramatic increase in popularity since 1993. Many reports indicate that its growth will continue at an exponential rate. This growth has ...
Ying Shi, Edward Watson, Ye-Sho Chen
BRAIN
2010
Springer
14 years 11 months ago
Cognitive Informatics and Denotational Mathematical Means for Brain Informatics
Cognitive informatics studies the natural intelligence and the brain from a theoretical and a computational approach, which rigorously explains the ms of the brain by a fundamental...
Yingxu Wang