Papers
Power of Ordered Hypothesis Testing
Lihua Lei, William Fithian
PPP: Joint Pointwise and Pairwise Image Label Prediction
Yilin Wang, Suhang Wang, Jiliang Tang et al.
Praat on the Web: An Upgrade of Praat for Semi-Automatic Speech Annotation
Mónica Domínguez, Iván Latorre, Mireia Farrús et al.
Practical Kernel-Based Reinforcement Learning
André M.S. Barreto, Doina Precup, Joelle Pineau
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates
Lingxiao Wang, Xiang Ren, Quanquan Gu
Preconditioning Kernel Matrices
Kurt Cutajar, Michael Osborne, John Cunningham et al.
Predictability of Distributional Semantics in Derivational Word Formation
Sebastian Padó, Aurélie Herbelot, Max Kisselew et al.
Predicting Affective Dimensions Based on Self Assessed Depression Severity
Rahul Gupta, Shrikanth S. Narayanan
Predicting Binaural Speech Intelligibility from Signals Estimated by a Blind Source Separation Algorithm
Qingju Liu, Yan Tang, Philip J.B. Jackson et al.
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data
Joseph Futoma, Mark Sendak, Blake Cameron et al.
Predicting human similarity judgments with distributional models: The value of word associations.
Simon De Deyne, Amy Perfors, Daniel J Navarro
Predicting Motivations of Actions by Leveraging Text
Carl Vondrick, Deniz Oktay, Hamed Pirsiavash et al.
Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks
Ildikó Pilán, Elena Volodina, Torsten Zesch
Predicting Pronunciations with Syllabification and Stress with Recurrent Neural Networks
Daan van Esch, Mason Chua, Kanishka Rao
Predicting Restaurant Consumption Level through Social Media Footprints
Yang Xiao, Yuan Wang, Hangyu Mao et al.
Predicting sentential semantic compatibility for aggregation in text-to-text generation
Victor Chenal, Jackie Chi Kit Cheung
Predicting Severity of Voice Disorder from DNN-HMM Acoustic Posteriors
Tan Lee, Yuanyuan Liu, Yu Ting Yeung et al.
Predicting the Evocation Relation between Lexicalized Concepts
Yoshihiko Hayashi
Predicting the Where and What of Actors and Actions Through Online Action Localization
Khurram Soomro, Haroon Idrees, Mubarak Shah
Predicting User Satisfaction from Turn-Taking in Spoken Conversations
Shammur Absar Chowdhury, Evgeny A. Stepanov, Giuseppe Riccardi
Predicting When Saliency Maps Are Accurate and Eye Fixations Consistent
Anna Volokitin, Michael Gygli, Xavier Boix
Prediction and Generation of Backchannel Form for Attentive Listening Systems
Tatsuya Kawahara, Takashi Yamaguchi, Koji Inoue et al.
Prediction of the Articulatory Movements of Unseen Phonemes of a Speaker Using the Speech Structure of Another Speaker
Hidetsugu Uchida, Daisuke Saito, Nobuaki Minematsu
Predictive Entropy Search for Multi-objective Bayesian Optimization
Daniel Hernandez-Lobato, Jose Hernandez-Lobato, Amar Shah et al.