Temporal Inference In Forward Search Temporal Planning Dissertation Abstract Atif Talukdar Supervisors: Maria Fox and Derek Long King’s College London London WC2R 2LS

Source URL: icaps16.icaps-conference.org

• Logic
• Metaphysics
• Philosophy of science
• Theoretical philosophy
• Reasoning
• Logic in computer science
• Expert systems
• Inference
• Logical consequence
• Causality
• Automated planning and scheduling
• Forward chaining

Bayonet: Probabilistic Inference for Networks Timon Gehr Sasa Misailovic Petar Tsankov

Source URL: nsg.romeier.ch

• Network performance
• Statistical randomness
• Probability theory
• Probability
• Probabilistic logic
• Queueing theory
• Input queue
• Robust random early detection
• Network congestion
• Probabilistic programming language

Dynamic Conditionals? In other words, 3(P &Q) seems to rule out P → ¬Q.2 ‘Or-to-if’ inference [Stalnaker, 1975]: Daniel Rothschild

Source URL: danielrothschild.com

Dropout Variational Inference Improves Object Detection in Open-Set Conditions Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf Australian Centre for Robotic Vision∗ Queensland University of Technology

Source URL: bayesiandeeplearning.org

DYNAMIC S UM P RODUCT N ETWORKS FOR T RACTABLE I NFERENCE ON S EQUENCE DATA Dynamic Sum Product Networks for Tractable Inference on Sequence Data Mazen Melibari1 Pascal Poupart1

Source URL: cs.uwaterloo.ca

Katarzyna Budzynska & Chris Reed Inference Anchoring Theory Examples for analysis (The Moral Maze programme) Ex1. LA: It was a ghastly aberration. CL: Or was it in fact typical? Was it the product of a policy that was un

Source URL: ssa2014.arg.dundee.ac.uk

In: Proc. International Symposium of Robotics Research (ISRR), Siestre-Levante, ItalyAn Approximate Inference Approach to Temporal Optimization for Robotics Konrad Rawlik, Dmitry Zarubin, Marc Toussaint, and Se

Source URL: ipvs.informatik.uni-stuttgart.de

Augment and Reduce: Stochastic Inference for Large Categorical Distributions Adji Bousso Dieng Collaborators

Source URL: stat.columbia.edu

James Hawthorne David Makinson The Quantitative/Qualitative Watershed for Rules of Uncertain Inference

Source URL: james-hawthorne.oucreate.com

Active Deformable Part Models Inference Menglong Zhu Nikolay Atanasov George J. Pappas Kostas Daniilidis GRASP Laboratory, University of Pennsylvania 3330 Walnut Street, Philadelphia, PA 19104, USA? Abstract. This paper

Source URL: erl.ucsd.edu