Gaussian Processes for Machine Learning

Introduction to Gaussian Process (David J.C. Mackay)

GPstruct: Bayesian Structured Prediction using Gaussian Processes

Nonstationary Spatial Covariance Functions * Michael L ... - CiteSeerX

Machine Learning: A very quick introduction

EMPIRICAL PROCESSES - University of Washington

Bayesian treed Gaussian process models - Bobby Gramacy

Probabilistic machine learning and artificial ... - CSE - IIT Kanpur

Bayesian treed Gaussian process models - Bobby Gramacy

UbiComp 2013 LaTeX Extended Abstracts Template

Sequential Bayesian Prediction in the Presence of Changepoints

An Introduction to Feature Extraction - ClopiNet

Machine Learning Overview - CEDAR - University at Buffalo

Variable Attention and Variable Noise - CEUR Workshop Proceedings

On the Impact of Kernel Approximation on Learning Accuracy

Introduction to Machine Learning - Wisc

Construction of Nonparametric Bayesian Models from ... - CiteSeerX

Latent Poisson Process Allocation - Proceedings of Machine ...

Clustering gene expression time series data using an infinite - PLOS

Machine learning in bioinformatics - Oxford Journals

Efficient, Generalized Indoor WiFi GraphSLAM - Stanford Computer ...

Multi-Armed Bandit Models for 2D Grasp Planning with ... - KTH

A Survey on Transfer Learning - CiteSeerX

Dirichlet Process Gaussian Mixture Models - Cambridge Machine ...

Improving Deep Neural Networks for LVCSR Using Rectified Linear ...

Learning Robot Soccer Skills from Demonstration - CiteSeerX

Computed Torque Control with Nonparametric ... - CiteSeerX

Sparse Bayesian Learning for Efficient Visual Tracking - Machine ...

Informative Path Planning for an Autonomous Underwater Vehicle

A Case Study on the Critical Role of Geometric Regularity in ...

Weakly Supervised Learning of Mid-Level Features with Beta ...

Autonomous Learning of High-Level States and Actions - EECS ...

Introduction to MCMC for deep learning

Generic PDF to Text Conversion using Machine Learning

Deep Learning Theory

ABSTRACT STATISTICAL MODELS AND ... - EE@IITM

A Bayesian Reinforcement Learning Approach for ... - McGill CS

Analytical Upper Body Human Motion Transfer to Naohumanoid Robot

Autonomous Multilateral Debridement with the ... - Ken Goldberg

Support Vector Machines for Classification and Regression

A Machine Learning Framework to Detect And Document Text ...

Computer Vision: Algorithms and Applications - Szeliski.org

Machine Learning Approaches to Breast Cancer Diagnosis - CS229

Computational Models for Neuromuscular Function

Learning Word Vectors for Sentiment Analysis - Stanford Artificial ...

Separation of Bones From Chest Radiographs by Means of ...

Practical Evasion of a Learning-Based Classifier: A ... - UT Dallas

Statistical Methods in Credit Risk Modeling - Semantic Scholar

Blind Image Quality Assessment on Real Distorted Images ... - icdst

Predicting Personality with Social Media - UMD CS - University of ...

Multi-Armed Bandit Algorithms and Empirical Evaluation

active learning - Stanford Artificial Intelligence Laboratory

The Book of Abstracts - University of Michigan

Online State Elimination in Accelerated reinforcement Learning

Online Learning for Big Data Analytics - College of Computing ...

Piecewise Constant Functions - Journal of Machine Learning ...

Neural Systems for Control1 - Institute for Systems Research

Data Clustering: 50 Years Beyond K-Means - Semantic Scholar

INVERSE PROBLEMS AND MACHINE LEARNING The - icdst

inverse modeling and uncertainty quantification of nonlinear flow

Generative Models for Discovering Sparse Distributed ...

Scale-Invariance of Support Vector Machines ... - Semantic Scholar

Robust Shrinkage Estimation of High-dimensional Covariance ...

Visualizable and Interpretable Regression Models With Good ...

Frontiers in Massive Data Analysis - Department of Statistics

Trajectories and Keyframes for Kinesthetic ... - UT Computer Science

A Clockwork RNN - arXiv

Keywords list - Advances in Electrical and Computer Engineering

Determining Energy Expenditure from Treadmill Walking using Hip ...

SPARSE COVARIANCE ESTIMATION UNDER KRONECKER ...

Nonlocal linear image regularization and - Semantic Scholar

A Comparison of Different Classification Techniques for - CiteSeerX

Wireless Device Identification with Radiometric Signatures - Wisc

2012 workshop book - NIPS

Factored 3-Way Restricted Boltzmann Machines For Modeling ...

Location Mining in Online Social Networks - UT Dallas

Neural Image Caption Generation with Visual Attention

Nonlocal operators with applications to image processing - UCLA.edu

A statistical perspective on data mining - Madhu Sudan

First Experiments with PowerPlay

A Descriptive Algorithm for Sobel Image Edge Detection - Informing ...

A Bayesian Approach to Unsupervised One-Shot Learning of Object ...

Conversational Speech Transcription Using Context ... - CiteSeerX

Segmenting Customers from Population to - NYU

Face Recognition by Elastic Bunch Graph Matching

Download PDF - Microsoft

Combining Multiple Clusterings Using Evidence ... - CiteSeerX

Deep Face Recognition - University of Oxford

Shrinkage Fisher Information Embedding of High Dimensional ...

A Survey on Moving Object Detection and ... - Semantic Scholar

Content-Based Image Retrieval - Stanford InfoLab

Flexible Neural Trees Ensemble for Stock Index - CiteSeerX

An Improved Adaptive Background Mixture Model for Real-time ...

A Modified Differential Evolution Algorithm trained Pi-Sigma Neural ...

Leafsnap: A Computer Vision System for Automatic ... - Neeraj Kumar

Advanced Mathematics for Engineers

A Review of Anomaly based IntrusionDetection Systems

Towards the Automatic Analysis of Complex Human Body Motions ...

Clustering by a genetic algorithm with biased mutation ... - DiVA portal