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CIKM
2009
Springer
16 years 1 months ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...
MICRO
2006
IEEE
132views Hardware» more  MICRO 2006»
16 years 13 days ago
Data-Dependency Graph Transformations for Superblock Scheduling
The superblock is a scheduling region which exposes instruction level parallelism beyond the basic block through speculative execution of instructions. In general, scheduling supe...
Mark Heffernan, Kent D. Wilken, Ghassan Shobaki
ICIP
2010
IEEE
15 years 4 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
SODA
2001
ACM
93views Algorithms» more  SODA 2001»
15 years 7 months ago
Making data structures confluently persistent
We address a longstanding open problem of [11, 10], and present a general transformation that transforms any pointer based data structure to be confluently persistent. Such transf...
Amos Fiat, Haim Kaplan
CLEF
2006
Springer
15 years 10 months ago
Scientific Data of an Evaluation Campaign: Do We Properly Deal with Them?
Abstract. This paper examines the current way of keeping the data produced during the evaluation campaigns and highlights some shortenings of it. As a consequence, we propose a new...
Maristella Agosti, Giorgio Maria Di Nunzio, Nicola...