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» A Hybrid Approach to Adaptive Statistical Language Modeling
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143
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EMNLP
2008
15 years 4 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
103
Voted
ICRA
2007
IEEE
150views Robotics» more  ICRA 2007»
15 years 9 months ago
A Motion Planner for a Hybrid Robotic System with Kinodynamic Constraints
— The rapidly increasing complexity of tasks robotic systems are expected to carry out underscores the need for the development of motion planners that can take into account disc...
Erion Plaku, Lydia E. Kavraki, Moshe Y. Vardi
163
Voted
CVPR
2008
IEEE
16 years 5 months ago
Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking
Given an object model and a black-box measure of similarity between the model and candidate targets, we consider visual object tracking as a numerical optimization problem. During...
Zhaozheng Yin, Robert T. Collins
168
Voted
ISOLA
2010
Springer
15 years 1 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
129
Voted
IJAIT
2002
81views more  IJAIT 2002»
15 years 3 months ago
Guiding Constructive Search with Statistical Instance-Based Learning
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
Orestis Telelis, Panagiotis Stamatopoulos