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KDD
2004
ACM
141views Data Mining» more  KDD 2004»
16 years 4 months ago
A Maximum Entropy Approach to Biomedical Named Entity Recognition
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pi...
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
16 years 4 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
CHI
2004
ACM
16 years 4 months ago
Automatic support for web user studies with SCONE and TEA
This paper describes the concepts of TEA, a flexible tool that supports user tests by automating repetitive tasks and collecting data of user inputs and actions. TEA was specifica...
Hartmut Obendorf, Harald Weinreich, Torsten Hass
SIGMOD
2007
ACM
153views Database» more  SIGMOD 2007»
16 years 4 months ago
Scaling games to epic proportion
We introduce scalability for computer games as the next frontier for techniques from data management. A very important aspect of computer games is the artificial intelligence (AI)...
Walker M. White, Alan J. Demers, Christoph Koch, J...
ICFP
2005
ACM
16 years 4 months ago
Monadic augment and generalised short cut fusion
Monads are commonplace programming devices that are used to uniformly structure computations with effects such as state, exceptions, and I/O. This paper further develops the monad...
Neil Ghani, Patricia Johann, Tarmo Uustalu, Varmo ...