4255 search results - page 204 / 851 » On Learning Boolean Functions |
182
click to vote
ICONIP
2010
15 years 3 months ago
2010
Abstract. We investigated the network topology organized through spike-timingdependent plasticity (STDP) using pair- and triad-connectivity patterns, considering di erence of excit...
208
click to vote
TNN
2010
15 years 1 months ago
2010
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
123
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Clustering with constraints is a developing area of machine learning. Various papers have used constraints to enforce particular clusterings, seed clustering algorithms and even l...
181
click to vote
IROS
2009
IEEE
16 years 1 months ago
2009
IEEE
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
195
click to vote
JCSS
2008
15 years 6 months ago
2008
Given a Boolean function f, we study two natural generalizations of the certificate complexity C (f): the randomized certificate complexity RC (f) and the quantum certificate comp...