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» Learning from General Label Constraints
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ALT
2001
Springer
14 years 5 months ago
Learning Recursive Functions Refutably
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 10 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
ICASSP
2010
IEEE
13 years 9 months ago
Semi-Supervised Fisher Linear Discriminant (SFLD)
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
Seda Remus, Carlo Tomasi
TOG
2002
98views more  TOG 2002»
13 years 8 months ago
Synthesis of complex dynamic character motion from simple animations
In this paper we present a general method for rapid prototyping of realistic character motion. We solve for the natural motion from a simple animation provided by the animator. Ou...
C. Karen Liu, Zoran Popovic
CIKM
2011
Springer
12 years 8 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...