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APIN
2004
116views more  APIN 2004»
15 years 6 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
176
Voted
WWW
2007
ACM
16 years 7 months ago
Supervised rank aggregation
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
Yu-Ting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Han...
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 7 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
158
Voted
CHI
2005
ACM
16 years 7 months ago
Towards knowledge building in professional groups
In this submission for the CHI05 Development forum, I reflect on my experience leading the Experience Design community of interest of the American Institute of Graphic Arts and su...
John Zapolski
140
Voted
STOC
2004
ACM
61views Algorithms» more  STOC 2004»
16 years 7 months ago
The zero-one principle for switching networks
Recently, approximation analysis has been extensively used to study algorithms for routing weighted packets in various network settings. Although different techniques were applied...
Yossi Azar, Yossi Richter