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Showing below up to 50 results in range #101 to #150.
- quantifying cancer progression with conjunctive Bayesian networks (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)
- 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)
- context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis (09:46, 30 August 2017)
- stat340s13 (09:46, 30 August 2017)
- stat946s13 (09:46, 30 August 2017)
- maximum likelihood estimation of intrinsic dimension (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)
- positive Semidefinite Metric Learning Using Boosting-like Algorithms (09:46, 30 August 2017)
- hierarchical Dirichlet Processes (09:46, 30 August 2017)
- kernel Dimension Reduction in Regression (09:46, 30 August 2017)
- kernelized Locality-Sensitive Hashing (09:46, 30 August 2017)
- hamming Distance Metric Learning (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)
- parametric Local Metric Learning for Nearest Neighbor Classification (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)
- 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)
- 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)
- stat841f14 (09:46, 30 August 2017)
- sandbox to test w2l (09:46, 30 August 2017)
- f14Stat842EditorSignUp (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)
- graves et al., Speech recognition with deep recurrent neural networks (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)
- dropout (09:46, 30 August 2017)
- deepGenerativeModels (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)
- neural Turing Machines (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)
- imageNet Classification with Deep Convolutional Neural Networks (09:46, 30 August 2017)
- natural language processing (almost) from scratch. (09:46, 30 August 2017)