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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 7 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
NIPS
2008
15 years 5 months ago
Regularized Learning with Networks of Features
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...
NIPS
2007
15 years 5 months ago
Structured Learning with Approximate Inference
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
Alex Kulesza, Fernando Pereira
140
Voted
ICANN
2009
Springer
15 years 8 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
SOCRATES
2008
101views Education» more  SOCRATES 2008»
15 years 5 months ago
Effects of Individual Prior Knowledge on Collaborative Knowledge Construction and Individual Learning Outcomes
This paper deals with collaborative knowledge construction in videoconferencing. The main issue is about how to predict individual learning outcome, in particular how far individu...
Bernhard Ertl, Heinz Mandl