Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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16 results at IJCAI 2016

Structural Symmetries for Fully Observable Nondeterministic Planning
- - Dominik Winterer
  - Martin Wehrle
  - et al.
- 2016
- IJCAI 2016
MPMA: Mixture probabilistic matrix approximation for collaborative filtering
- - Chao Chen
  - Dongsheng Li
  - et al.
- 2016
- IJCAI 2016
Interactive planning-based hypothesis generation with LTS++
- - Shirin Sohrabi
  - Octavian Udrea
  - et al.
- 2016
- IJCAI 2016
Truncating shortest path search for efficient map-matching
- - Takashi Imamichi
  - Takayuki Osogami
  - et al.
- 2016
- IJCAI 2016
Proximal gradient temporal difference learning algorithms
- - Bo Liu
  - Ji Liu
  - et al.
- 2016
- IJCAI 2016
Weight features for predicting future model performance of deep neural networks
- - Yasunori Yamada
  - Tetsuro Morimura
- 2016
- IJCAI 2016
Plan recognition as planning revisited
- - Shirin Sohrabi
  - Anton Riabov
  - et al.
- 2016
- IJCAI 2016
Data-based promotion of tourist events with minimal operational impact
- - Srikanth Tamilselvam
  - Biplav Srivastava
  - et al.
- 2016
- IJCAI 2016
Staleness-Aware Async-SGD for distributed deep learning
- - Wei Zhang
  - Suyog Gupta
  - et al.
- 2016
- IJCAI 2016
Gated probabilistic matrix factorization: Learning users' attention from missing values
- - Shohei Ohsawa
  - Yachiko Obara
  - et al.
- 2016
- IJCAI 2016