Patent ID: 8055593

Claim:
A method for multiple-label data analysis, comprising: obtaining labeled data points from more than one labeler, wherein at least one data point is labeled by more than one labeler; building a classifier that maximizes a measure relating the data points and labels on the data points to a predicted output label; and assigning an output label to an input data point by using the classifier, wherein the method is performed using a processor; wherein building the classifier comprises solving the following equation arg ⁢ ⁢ min θ , { σ t } ⁢ ∑ t ⁢ ⁢ 1 σ t 2 ⁢ ∑ i ⁢ ⁢ ( y i ( t ) - f ⁡ ( X i ; θ ) ) 2 + log ⁢  σ t  where y i (t) is a label for an i-th data point given by a t-th labeler and x i is the i-th data point and θ and σ are parameters of the classifier that are determined by solving the equation.