Papers
Predicting the Presence of Discourse Connectives
Gary Patterson, Andrew Kehler
Predicting the Resolution of Referring Expressions from User Behavior
Nikos Engonopoulos, Martín Villalba, Ivan Titov et al.
Predicting the Size of Depth-First Branch and Bound Search Trees
Levi H. S. Lelis, Lars Otten, Rina Dechter
Prediction by random-walk perturbation
Luc Devroye, Gábor Lugosi, Gergely Neu
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
Hamed Firouzi, Bala Rajaratnam, Alfred Hero III
Predictive PAC Learning and Process Decompositions
Cosma Shalizi, Aryeh Kontorovich
Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes
Kouzou Ohara, Kazumi Saito, Masahiro Kimura et al.
Preference-Based CBR: General Ideas and Basic Principles
Eyke Hüllermeier, Weiwei Cheng
Preference-Based Query Answering in Datalog+/– Ontologies
Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari
Pregrasp Manipulation as Trajectory Optimization
Jennifer King, Matthew Klingensmith, Christopher Dellin et al.
Preserving Partial Solutions while Relaxing Constraint Networks
Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure
Prime Object Proposals with Randomized Prim's Algorithm
Santiago Manen, Matthieu Guillaumin, Luc Van Gool
Principal Component Analysis on non-Gaussian Dependent Data
Fang Han, Han Liu
Principal Observation Ray Calibration for Tiled-Lens-Array Integral Imaging Display
Weiming Li, Haitao Wang, Mingcai Zhou et al.
Prior Disambiguation of Word Tensors for Constructing Sentence Vectors
Dimitri Kartsaklis, Mehrnoosh Sadrzadeh
Prior-free and prior-dependent regret bounds for Thompson Sampling
Sebastien Bubeck, Che-Yu Liu
Prior-Free Exploration Bonus for and beyond Near Bayes-Optimal Behavior
Kenji Kawaguchi, Hiroshi Sato
Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors
Jackie Chi Kit Cheung, Gerald Penn
Probabilistic Elastic Matching for Pose Variant Face Verification
Haoxiang Li, Gang Hua, Zhe Lin et al.
Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation
Haoxiang Li, Gang Hua, Zhe Lin et al.
Probabilistic Equivalence Verification Approach for Automatic Mathematical Solution Assessment
Minh Luan Nguyen, Siu Cheung Hui, Alvis C. M. Fong
Probabilistic Frame Induction
Jackie Chi Kit Cheung, Hoifung Poon, Lucy Vanderwende
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation
Luming Zhang, Mingli Song, Zicheng Liu et al.
Probabilistic Label Trees for Efficient Large Scale Image Classification
Baoyuan Liu, Fereshteh Sadeghi, Marshall Tappen et al.
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms
Adrien Todeschini, François Caron, Marie Chavent