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» Evaluating learning algorithms and classifiers
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ADMI
2010
Springer
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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