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» Improving on Expectation Propagation
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WOA
2007
13 years 9 months ago
Expectations driven approach for Situated, Goal-directed Agents
Abstract— Situated agents engaged in open systems continually face with external events requiring adequate services and behavioral responses. In these conditions agents should be...
Michele Piunti, Cristiano Castelfranchi, Rino Falc...
ICASSP
2010
IEEE
13 years 8 months ago
Searching with expectations
Handling large amounts of data, such as large image databases, requires the use of approximate nearest neighbor search techniques. Recently, Hamming embedding methods such as spec...
Harsimrat Sandhawalia, Herve Jegou
EMNLP
2011
12 years 8 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
PAMI
2008
161views more  PAMI 2008»
13 years 8 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
KES
2011
Springer
13 years 3 months ago
Recommendation for English multiple-choice cloze questions based on expected test scores
When students study for multiple-choice cloze tests as the Test of English for International Communication (TOEIC), they tend to repeatedly tackle questions of the same type. In su...
Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toy...