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Showing below up to 100 results in range #71 to #170.
- a Rank Minimization Heuristic with Application to Minimum Order System Approximation (09:45, 30 August 2017)
- compressive Sensing (Candes) (09:45, 30 August 2017)
- probabilistic PCA with GPLVM (09:45, 30 August 2017)
- multi-Task Feature Learning (09:45, 30 August 2017)
- consistency of Trace Norm Minimization (09:45, 30 August 2017)
- optimal Solutions forSparse Principal Component Analysis (09:45, 30 August 2017)
- proof (09:45, 30 August 2017)
- copyofstat341 (09:45, 30 August 2017)
- a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization (09:45, 30 August 2017)
- stat341f11 (09:45, 30 August 2017)
- f11Stat841EditorSignUp (09:45, 30 August 2017)
- singular Value Decomposition(SVD) (09:45, 30 August 2017)
- signupformStat341F11 (09:45, 30 August 2017)
- stat946f11 (09:45, 30 August 2017)
- f11Stat946presentation (09:45, 30 August 2017)
- stat946f11pool (09:45, 30 August 2017)
- compressed Sensing Reconstruction via Belief Propagation (09:45, 30 August 2017)
- f11Stat946ass (09:45, 30 August 2017)
- f11Stat946papers (09:45, 30 August 2017)
- f11stat946EditorSignUp (09:45, 30 August 2017)
- contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models (09:45, 30 August 2017)
- video-Based Face Recognition Using Adaptive Hidden Markov Models (09:45, 30 August 2017)
- tRIAL for that odd behaviour (09:45, 30 August 2017)
- contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis (09:45, 30 August 2017)
- decentralised Data Fusion: A Graphical Model Approach (Summary) (09:45, 30 August 2017)
- a Dynamic Bayesian Network Click Model for Web Search Ranking (09:45, 30 August 2017)
- contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks (09:45, 30 August 2017)
- quantifying cancer progression with conjunctive Bayesian networks (09:46, 30 August 2017)
- markov Random Fields for Super-Resolution (09:46, 30 August 2017)
- quantifying cancer progression with conjunctive Bayesian networks. (09:46, 30 August 2017)
- graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns (09:46, 30 August 2017)
- video-based face recognition using Adaptive HMM (09:46, 30 August 2017)
- an HDP-HMM for Systems with State Persistence (09:46, 30 August 2017)
- a Dynamic Bayesian Network Click Model for web search ranking (09:46, 30 August 2017)
- incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary) (09:46, 30 August 2017)
- stat340s13 (09:46, 30 August 2017)
- context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis (09:46, 30 August 2017)
- stat946s13 (09:46, 30 August 2017)
- s13Stat946proposal (09:46, 30 August 2017)
- inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method (09:46, 30 August 2017)
- residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models (09:46, 30 August 2017)
- maximum likelihood estimation of intrinsic dimension (09:46, 30 August 2017)
- hierarchical Dirichlet Processes (09:46, 30 August 2017)
- positive Semidefinite Metric Learning Using Boosting-like Algorithms (09:46, 30 August 2017)
- kernelized Locality-Sensitive Hashing (09:46, 30 August 2017)
- hamming Distance Metric Learning (09:46, 30 August 2017)
- kernel Dimension Reduction in Regression (09:46, 30 August 2017)
- parametric Local Metric Learning for Nearest Neighbor Classification (09:46, 30 August 2017)
- kernel Spectral Clustering for Community Detection in Complex Networks (09:46, 30 August 2017)
- adaptive dimension reduction for clustering high dimensional data (09:46, 30 August 2017)
- the Indian Buffet Process: An Introduction and Review (09:46, 30 August 2017)
- large-Scale Supervised Sparse Principal Component Analysis (09:46, 30 August 2017)
- measuring and testing dependence by correlation of distances (09:46, 30 August 2017)
- metric and Kernel Learning Using a Linear Transformation (09:46, 30 August 2017)
- measuring statistical dependence with Hilbert-Schmidt norms (09:46, 30 August 2017)
- rOBPCA: A New Approach to Robust Principal Component Analysis (09:46, 30 August 2017)
- cardinality Restricted Boltzmann Machines (09:46, 30 August 2017)
- nonparametric Latent Feature Models for Link Prediction (09:46, 30 August 2017)
- sandbox to test w2l (09:46, 30 August 2017)
- stat841f14 (09:46, 30 August 2017)
- f14Stat842EditorSignUp (09:46, 30 August 2017)
- graves et al., Speech recognition with deep recurrent neural networks (09:46, 30 August 2017)
- proposal for STAT946 (Deep Learning) final projects Fall 2015 (09:46, 30 August 2017)
- stat946f15 (09:46, 30 August 2017)
- overfeat: integrated recognition, localization and detection using convolutional networks (09:46, 30 August 2017)
- goingDeeperWithConvolutions (09:46, 30 August 2017)
- parsing natural scenes and natural language with recursive neural networks (09:46, 30 August 2017)
- human-level control through deep reinforcement learning (09:46, 30 August 2017)
- learning Hierarchical Features for Scene Labeling (09:46, 30 August 2017)
- deep neural networks for acoustic modeling in speech recognition (09:46, 30 August 2017)
- deep Sparse Rectifier Neural Networks (09:46, 30 August 2017)
- stat946f15/Deep neural networks for acoustic modeling in speech recognition (09:46, 30 August 2017)
- dropout (09:46, 30 August 2017)
- deepGenerativeModels (09:46, 30 August 2017)
- learning2reasoning (09:46, 30 August 2017)
- neural Machine Translation: Jointly Learning to Align and Translate (09:46, 30 August 2017)
- show, Attend and Tell: Neural Image Caption Generation with Visual Attention (09:46, 30 August 2017)
- neural Turing Machines (09:46, 30 August 2017)
- question Answering with Subgraph Embeddings (09:46, 30 August 2017)
- imageNet Classification with Deep Convolutional Neural Networks (09:46, 30 August 2017)
- natural language processing (almost) from scratch. (09:46, 30 August 2017)
- from Machine Learning to Machine Reasoning (09:46, 30 August 2017)
- joint training of a convolutional network and a graphical model for human pose estimation (09:46, 30 August 2017)
- genetics (09:46, 30 August 2017)
- memory Networks (09:46, 30 August 2017)
- deep Convolutional Neural Networks For LVCSR (09:46, 30 August 2017)
- deep Learning of the tissue-regulated splicing code (09:46, 30 August 2017)
- learning Phrase Representations (09:46, 30 August 2017)
- scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines (09:46, 30 August 2017)
- very Deep Convoloutional Networks for Large-Scale Image Recognition (09:46, 30 August 2017)
- extracting and Composing Robust Features with Denoising Autoencoders (09:46, 30 August 2017)
- deep Generative Stochastic Networks Trainable by Backprop (09:46, 30 August 2017)
- the Wake-Sleep Algorithm for Unsupervised Neural Networks (09:46, 30 August 2017)
- continuous space language models (09:46, 30 August 2017)
- generating text with recurrent neural networks (09:46, 30 August 2017)
- learning Long-Range Vision for Autonomous Off-Road Driving (09:46, 30 August 2017)
- distributed Representations of Words and Phrases and their Compositionality (09:46, 30 August 2017)
- on the Number of Linear Regions of Deep Neural Networks (09:46, 30 August 2017)
- the Manifold Tangent Classifier (09:46, 30 August 2017)
- learning Convolutional Feature Hierarchies for Visual Recognition (09:46, 30 August 2017)