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ICCBR
2003
Springer
14 years 3 months ago
Combining Case-Based and Model-Based Reasoning for Predicting the Outcome of Legal Cases
This paper presents an algorithm called IBP that combines case-based and model-based reasoning for an interpretive CBR application, predicting the outcome of legal cases. IBP uses ...
Stefanie Brüninghaus, Kevin D. Ashley
ICRA
1995
IEEE
79views Robotics» more  ICRA 1995»
14 years 1 months ago
Learning to predict Resistive Forces During Robotic Excavation
— Few robot tasks require as forceful an interaction with the world as excavation. In order to effectively plan its actions, our robot excavator requires a method that allows it ...
Sanjiv Singh
BMCBI
2010
119views more  BMCBI 2010»
13 years 10 months ago
Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study
Background: Gene silencing using exogenous small interfering RNAs (siRNAs) is now a widespread molecular tool for gene functional study and new-drug target identification. The key...
Qi Liu, Qian Xu, Vincent Wenchen Zheng, Hong Xue, ...
ICTIR
2009
Springer
14 years 4 months ago
Time-Sensitive Language Modelling for Online Term Recurrence Prediction
We address the problem of online term recurrence prediction: for a stream of terms, at each time point predict what term is going to recur next in the stream given the term occurre...
Dell Zhang, Jinsong Lu, Robert Mao, Jian-Yun Nie
LION
2009
Springer
112views Optimization» more  LION 2009»
14 years 4 months ago
A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps
Abstract. Protein function prediction represents a fundamental challenge in bioinformatics. The increasing availability of proteomics network data has enabled the development of se...
Valerio Freschi