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ML
2008
ACM
248views Machine Learning» more  ML 2008»
15 years 3 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
RSS
2007
135views Robotics» more  RSS 2007»
15 years 5 months ago
Learning omnidirectional path following using dimensionality reduction
Abstract— We consider the task of omnidirectional path following for a quadruped robot: moving a four-legged robot along any arbitrary path while turning in any arbitrary manner....
J. Zico Kolter, Andrew Y. Ng
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 6 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
JAIR
2007
132views more  JAIR 2007»
15 years 3 months ago
Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text
It is well known that utterances convey a great deal of information about the speaker in addition to their semantic content. One such type of information consists of cues to the s...
François Mairesse, Marilyn A. Walker, Matth...
162
Voted
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 5 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou