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Published Date

Project

Project InnerEye – Democratizing Medical Imaging AI

InnerEye is a research project that uses state of the art machine learning technology to build innovative tools for the automatic, quantitative analysis of three-dimensional medical images.

Publication

Non-Parametric Modeling of Partially Ranked Data

Guy Lebanon, Yi Mao

Journal of Machine Learning Research | October 2008

Publication

A Simple and Effective Hierarchical Phrase Reordering Model

Michel Galley, Christopher D. Manning

Proc. of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2008

Publication

Persistent Queries

Andreas Blass, Yuri Gurevich

MSR-TR-2008-150 | October 2008

Publication

Discriminative Learning for Speech Recognition: Theory and Practice

Li Deng, Xiaodong He

Published by Morgan & Claypool | October 2008

Project

Publication

Trada: Tree Based Ranking Function Adaptation

Larry Heck

October 2008

Publication

Feature Correspondence via Graph Matching: Models and Global Optimization

Lorenzo Torresani, Vladimir Komogorov, Carsten Rother

ECCV | October 2008

ECCV

Publication

Tied Boltzmann Machines for Cold Start Recommendations

Asela Gunawardana, Christopher Meek, Chris Meek

ACM International Conference on Recommender Systems | October 2008

ACM International Conference on Recommender Systems

Publication

A Phrase-Based Alignment Model for Natural Language Inference

Bill MacCartney, Michel Galley, Christopher D. Manning

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2008

Publication

Automatic Question Generation from Queries

Chin-Yew Lin

September 2008

Artificial Intelligence

Highlights