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» A General Divide and Conquer Approach for Process Mining
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PKDD
2009
Springer
94views Data Mining» more  PKDD 2009»
15 years 5 months ago
OTTHO: On the Tip of My THOught
In this paper we propose a system to solve a language game, called Guillotine, which requires a player with a strong cultural and linguistic background knowledge. The player obser...
Pierpaolo Basile, Marco Degemmis, Pasquale Lops, G...
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 3 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
ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
14 years 9 months ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...
MMM
2010
Springer
154views Multimedia» more  MMM 2010»
15 years 2 months ago
Learning Cooking Techniques from YouTube
Abstract. Cooking is a human activity with sophisticated process. Underlying the multitude of culinary recipes, there exist a set of fundamental and general cooking techniques, suc...
Guangda Li, Richang Hong, Yantao Zheng, Shuicheng ...
CIKM
2003
Springer
15 years 4 months ago
Multi-resolution disambiguation of term occurrences
We describe a system for extracting mentions of terms such as company and product names, in a large and noisy corpus of documents, such as the World Wide Web. Since natural langua...
Einat Amitay, Rani Nelken, Wayne Niblack, Ron Siva...