کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
531117 869812 2010 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A regularization framework for multiclass classification: A deterministic annealing approach
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
A regularization framework for multiclass classification: A deterministic annealing approach
چکیده انگلیسی

In this paper, we propose a general regularization framework for multiclass classification based on discriminant functions. Since the objective function in the primal optimization problem of this framework is always not differentiable, the optimal solution cannot be obtained directly. With the aid of the deterministic annealing approach, a differentiable objective function is derived subject to a constraint on the randomness of the solution. The problem can be approximated by solving a sequence of differentiable optimization problems, and such approximation converges to the original problem asymptotically. Based on this approach, class-conditional posterior probabilities can be calculated directly without assuming the underlying probabilistic model. We also notice that there is a connection between our approach and some existing statistical models, such as Fisher discriminant analysis and logistic regression.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 43, Issue 7, July 2010, Pages 2466–2475
نویسندگان
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