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AAAI
2015
10 years 1 months ago
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation
Unlike unsupervised approaches such as autoencoders that learn to reconstruct their inputs, this paper introduces an alternative approach to unsupervised feature learning called d...
Paul A. Szerlip, Gregory Morse, Justin K. Pugh, Ke...
AAAI
2015
10 years 1 months ago
Heuristics and Symmetries in Classical Planning
Heuristic search is a state-of-the-art approach to classical planning. Several heuristic families were developed over the years to automatically estimate goal distance information...
Alexander Shleyfman, Michael Katz 0001, Malte Helm...
AAAI
2015
10 years 1 months ago
On the Impossibility of Convex Inference in Human Computation
Human computation or crowdsourcing involves joint inference of the ground-truth-answers and the workerabilities by optimizing an objective function, for instance, by maximizing th...
Nihar B. Shah, Dengyong Zhou
AAAI
2015
10 years 1 months ago
Structured Sparsity with Group-Graph Regularization
In many learning tasks with structural properties, structural sparsity methods help induce sparse models, usually leading to better interpretability and higher generalization perf...
Xin-Yu Dai, Jianbing Zhang, Shujian Huang, Jiajun ...
79
Voted
AAAI
2015
10 years 1 months ago
SMT-Based Nonlinear PDDL+ Planning
PDDL+ planning involves reasoning about mixed discretecontinuous change over time. Nearly all PDDL+ planners assume that continuous change is linear. We present a new technique th...
Daniel Bryce, Sicun Gao, David J. Musliner, Robert...
AAAI
2015
10 years 1 months ago
SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-Makespan for Formational Positioning
Teams of mobile robots often need to divide up subtasks efficiently. In spatial domains, a key criterion for doing so may depend on distances between robots and the subtasks’ l...
Patrick MacAlpine, Eric Price, Peter Stone
87
Voted
AAAI
2015
10 years 1 months ago
Improving Exploration in UCT Using Local Manifolds
Monte Carlo planning has been proven successful in many sequential decision-making settings, but it suffers from poor exploration when the rewards are sparse. In this paper, we im...
Sriram Srinivasan, Erik Talvitie, Michael H. Bowli...
AAAI
2015
10 years 1 months ago
A Neural Probabilistic Model for Context Based Citation Recommendation
Automatic citation recommendation can be very useful for authoring a paper and is an AI-complete problem due to the challenge of bridging the semantic gap between citation context...
Wenyi Huang, Zhaohui Wu, Liang Chen, Prasenjit Mit...
AAAI
2015
10 years 1 months ago
Handling Uncertainty in Answer Set Programming
We present a probabilistic extension of logic programs under the stable model semantics, inspired by the concept of Markov Logic Networks. The proposed language takes advantage of...
Yi Wang, Joohyung Lee
AAAI
2015
10 years 1 months ago
Automated Analysis of Commitment Protocols Using Probabilistic Model Checking
Commitment protocols provide an effective formalism for the regulation of agent interaction. Although existing work mainly focus on the design-time development of static commitmen...
Akin Günay, Songzheng Song, Yang Liu, Jie Zha...