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ACL
1998
15 years 1 months ago
Dialogue Act Tagging with Transformation-Based Learning
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
Ken Samuel, Sandra Carberry, K. Vijay-Shanker
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 3 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
FECS
2006
100views Education» more  FECS 2006»
15 years 1 months ago
Pair Programming: Not for Everyone?
- Developments in CS1 pedagogy seek to improve the capabilities of students in their understanding of how to write programs. This involves learning how to solve various types of pr...
Jacob P. Somervell
DIS
2009
Springer
15 years 6 months ago
Contrasting Sequence Groups by Emerging Sequences
Abstract. Group comparison per se is a fundamental task in many scientific endeavours but is also the basis of any classifier. Contrast sets and emerging patterns contrast betwee...
Kang Deng, Osmar R. Zaïane
ICRA
2006
IEEE
104views Robotics» more  ICRA 2006»
15 years 5 months ago
Implicit Coordination in Robotic Teams using Learned Prediction Models
— Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
Freek Stulp, Michael Isik, Michael Beetz