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DIS
2008
Springer
14 years 4 days ago
Active Learning for High Throughput Screening
Abstract. An important task in many scientific and engineering disciplines is to set up experiments with the goal of finding the best instances (substances, compositions, designs) ...
Kurt De Grave, Jan Ramon, Luc De Raedt
APCCM
2008
13 years 11 months ago
Making Workflows Context-aware: A Way to Support Knowledge-intensive Tasks
In business processes, knowledge-intensive tasks are ones in which the people performing such tasks are involved in a fair degree of uncertainty. These people are required to appl...
Mitra Heravizadeh, David Edmond
COLING
2008
13 years 11 months ago
A Method for Automatic POS Guessing of Chinese Unknown Words
This paper proposes a method for automatic POS (part-of-speech) guessing of Chinese unknown words. It contains two models. The first model uses a machinelearning method to predict...
Likun Qiu, Changjian Hu, Kai Zhao
DAGSTUHL
2007
13 years 11 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
EMNLP
2007
13 years 11 months ago
Exploiting Multi-Word Units in History-Based Probabilistic Generation
We present a simple history-based model for sentence generation from LFG f-structures, which improves on the accuracy of previous models by breaking down PCFG independence assumpt...
Deirdre Hogan, Conor Cafferkey, Aoife Cahill, Jose...