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IJCNN
2007
IEEE
15 years 7 months ago
Predicting Spike Activity in Neuronal Cultures
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
Tayfun Gürel, Ulrich Egert, Steffen Kandler, ...
122
Voted
IJCNN
2007
IEEE
15 years 7 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar
116
Voted
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
15 years 7 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
99
Voted
CMMR
2007
Springer
114views Music» more  CMMR 2007»
15 years 7 months ago
A Meta-analysis of Timbre Perception Using Nonlinear Extensions to CLASCAL
Abstract. Seeking to identify the constituent parts of the multidimensional auditory attribute that musicians know as timbre, music psychologists have made extensive use of multidi...
John Ashley Burgoyne, Stephen McAdams
128
Voted
ECML
2007
Springer
15 years 7 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen