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» Evaluating learning algorithms and classifiers
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ADMI
2010
Springer
15 years 4 months ago
Probabilistic Modeling of Mobile Agents' Trajectories
Abstract. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization...
Stepán Urban, Michal Jakob, Michal Pechouce...
EMNLP
2007
15 years 4 months ago
Generating Lexical Analogies Using Dependency Relations
A lexical analogy is a pair of word-pairs that share a similar semantic relation. Lexical analogies occur frequently in text and are useful in various natural language processing ...
Andy Chiu, Pascal Poupart, Chrysanne DiMarco
NAACL
2007
15 years 4 months ago
Automatic Assessment of Student Translations for Foreign Language Tutoring
This paper introduces the use of speech translation technology for a new type of voice-interactive Computer Aided Language Learning (CALL) application. We describe a computer game...
Chao Wang, Stephanie Seneff
NIPS
2007
15 years 4 months ago
DIFFRAC: a discriminative and flexible framework for clustering
We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
Francis Bach, Zaïd Harchaoui
UAI
2008
15 years 4 months ago
Improving the Accuracy and Efficiency of MAP Inference for Markov Logic
In this work we present Cutting Plane Inference (CPI), a Maximum A Posteriori (MAP) inference method for Statistical Relational Learning. Framed in terms of Markov Logic and inspi...
Sebastian Riedel