TAG: 2008

PageDateDiscussion
A Decoupled Approach to Exemplar-based Unsupervised Learning. (2008)   0 Comments
A Distance Model for Rhythms (2008)   0 Comments
A Dual Coordinate Descent Method for Large-scale Linear SVM (2008)   0 Comments
A Least Squares Formulation for Canonical Correlation Analysis (2008)   2 Comments
A Quasi-Newton Approach to Nonsmooth Convex Optimization (2008)   0 Comments
A Rate-Distortion One-Class Model and its Applications to Clustering (2008)   0 Comments
A Reproducing Kernel Hilbert Space Framework for Pairwise Time Series Distances (2008)   0 Comments
A Semiparametric Statistical Approach to Model-Free Policy Evaluation (2008)   0 Comments
A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning (2008)   0 Comments
A Worst-Case Comparison Between Temporal Difference and Residual Gradient with Linear Function Approximation (2008)   0 Comments
A generalization of Haussler's convolution kernel - mapping kernel (2008)   0 Comments
Accurate max-margin training for structured output spaces (2008)   0 Comments
Active Kernel Learning (2008)   0 Comments
Active Reinforcement Learning (2008)   0 Comments
Actively Learning Level-Sets of Composite Functions (2008)   0 Comments
Adaptive p-Posterior Mixture-Model Kernels for Multiple Instance Learning (2008)   0 Comments
An Analysis of Generative, Discriminative, and Pseudolikelihood Estimators (2008)   0 Comments
An Analysis of Linear Models, Linear Value-Function Approximation, and Feature Selection for Reinforcement Learning (2008)   0 Comments
An Empirical Evaluation of Supervised Learning in High Dimensions (2008)   0 Comments
An HDP-HMM for Systems with State Persistence (2008)   8 Comments
An Object-Oriented Representation for Efficient Reinforcement Learning (2008)   0 Comments
An RKHS for Multi-View Learning and Manifold Co-Regularization (2008)   0 Comments
An analysis of reinforcement learning with function approximation (2008)   0 Comments
Apprenticeship Learning Using Linear Programming (2008)   0 Comments
Automatic Discovery and Transfer of MAXQ Hierarchies (2008)   0 Comments
Autonomous geometric precision error estimation in low-level computer vision tasks (2008)   0 Comments
Bayes Optimal Classification for Decision Trees (2008)   0 Comments
Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo (2008)   0 Comments
Bayesian multiple instance learning: automatic feature selection and inductive transfer (2008)   0 Comments
Beam Sampling for the Infinite Hidden Markov Model (2008)   0 Comments
Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression (2008)   0 Comments
Bolasso: Model Consistent Lasso Estimation through the Bootstrap (2008)   0 Comments
Boosting with Incomplete Information (2008)   0 Comments
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity (2008)   0 Comments
Classification using Discriminative Restricted Boltzmann Machines (2008)   0 Comments
Closed-form Supervised Dimensionality Reduction with Generalized Linear Models (2008)   0 Comments
Composite Kernel Learning (2008)   0 Comments
Compressed Sensing and Bayesian Experimental Design (2008)   0 Comments
Confidence-Weighted Linear Classification (2008)   0 Comments
Cost-Sensitive Multi-class Classification From Probability Estimates (2008)   0 Comments
Data Spectroscopy: Learning Mixture Models using Eigenspaces of Convolution Operators (2008)   0 Comments
Deep Learning via Semi-Supervised Embedding (2008)   1 Comment
Democratic Approximation of Lexicographic Preference Models (2008)   0 Comments
Detecting Statistical Interactions with Additive Groves of Trees (2008)   0 Comments
Dirichlet Component Analysis: Feature Extraction for Compositional Data (2008)   0 Comments
Discriminative Parameter Learning for Bayesian Networks (2008)   0 Comments
Discriminative Structure and Parameter Learning for Markov Logic Networks (2008)   0 Comments
Efficient Bandit Algorithms for Online Multiclass Prediction (2008)   1 Comment
Efficient Deep Learning for Text Classification and Retrieval (2008)   0 Comments
Efficient MultiClass Maximum Margin Clustering (2008)   0 Comments
Efficient Projections onto the L1-Ball for Learning in High Dimensions (2008)   0 Comments
Efficiently Learning Linear-Linear Exponential Family Predictive Representations of State (2008)   0 Comments
Efficiently Solving Convex Relaxations for MAP Estimation (2008)   0 Comments
Empirical Bernstein Stopping (2008)   0 Comments
Estimating Labels from Label Proportions (2008)   1 Comment
Estimating Local Optimums in EM Algorithm over Gaussian Mixture Model (2008)   0 Comments
Expectation-Maximization for Sparse and Non-Negative PCA (2008)   0 Comments
Exploration Scavenging (2008)   0 Comments
Extracting and Composing Robust Features with Denoising Autoencoders (2008)   0 Comments
Fast Estimation of First-Order Clause Coverage through Randomization and Maximum Likelihood (2008)   0 Comments
Fast Gaussian Process Methods for Point Process Intensity Estimation (2008)   0 Comments
Fast Incremental Proximity Search in Large Graphs (2008)   0 Comments
Fast Solvers and Efficient Implementations for Distance Metric Learning (2008)   0 Comments
Fast Support Vector Machine Training and Classification on Graphics Processors (2008)   0 Comments
Fast nearest neighbor retrieval for bregman divergences (2008)   0 Comments
Fully Distributed EM for Very Large Datasets (2008)   0 Comments
Gaussian Process Product Models for Nonparametric Nonstationarity (2008)   0 Comments
Graph Transduction via Alternating Minimization (2008)   0 Comments
Graph kernels between point clouds (2008)   0 Comments
Grassmann Discriminant Analysis: a Unifying View on Subspace-Based Learning (2008)   0 Comments
Hierarchical Kernel Stick-Breaking Process for Multi-Task Image Analysis (2008)   0 Comments
Hierarchical Model-Based Reinforcement Learning: R-max + MAXQ (2008)   0 Comments
Hierarchical sampling for active learning (2008)   3 Comments
ICA and ISA Using Schweizer-Wolff Measure of Dependence (2008)   0 Comments
Improved Nystrom Low-Rank Approximation and Error Analysis (2008)   0 Comments
Inverting the Viterbi Algorithm: An Abstract Framework for Structure Design (2008)   0 Comments
Knows What It Knows: A Framework For Self-Aware Learning (2008)   7 Comments
Laplace Maximum Margin Markov Networks (2008)   0 Comments
Large Scale Manifold Transduction (2008)   0 Comments
Learning All Optimal Policies with Multiple Criteria (2008)   0 Comments
Learning Dissimilarities by Ranking: From SDP to QP (2008)   0 Comments
Learning Diverse Rankings with Multi-Armed Bandits (2008)   1 Comment
Learning for Control from Multiple Demonstrations (2008)   0 Comments
Learning from Incomplete Data with Infinite Imputations (2008)   0 Comments
Learning to Classify with Missing and Corrupted Features (2008)   0 Comments
Learning to Learn Implicit Queries from Gaze Patterns (2008)   0 Comments
Learning to Sportscast: A Test of Grounded Language Acquisition (2008)   0 Comments
Listwise Approach to Learning to Rank - Theory and Algorithm (2008)   0 Comments
Local Likelihood Modeling of Temporal Text Streams (2008)   0 Comments
Localized Multiple Kernel Learning (2008)   0 Comments
Manifold Alignment using Procrustes Analysis (2008)   0 Comments
ManifoldBoost: Stagewise Function Approximation for Fully-, Semi- and Un-supervised Learning (2008)   0 Comments
Maximum likelihood rule ensembles (2008)   0 Comments
Memory Bounded Inference in Topic Models (2008)   0 Comments
Metric Embedding for Kernel Classification Rules (2008)   0 Comments
Modeling Interleaved Hidden Processes (2008)   4 Comments
Modified MMI/MPE: A Direct Evaluation of the Margin in Speech Recognition (2008)   0 Comments
Multi-Classification by Categorical Features via Clustering (2008)   0 Comments
Multi-Task Compressive Sensing with Dirichlet Process Priors (2008)   0 Comments
Multi-Task Learning for HIV Therapy Screening (2008)   0 Comments
Multiple Instance Ranking (2008)   0 Comments
Nearest Hyperdisk Methods for High-Dimensional Classification (2008)   0 Comments
No-Regret Learning in Convex Games (2008)   0 Comments
Non-Parametric Policy Gradients: A Unified Treatment of Propositional and Relational Domains (2008)   0 Comments
Nonextensive Entropic Kernels (2008)   0 Comments
Nonnegative Matrix Factorization via Rank-One Downdate (2008)   0 Comments
Nu-Support Vector Machine as Conditional Value-at-Risk Minimization (2008)   0 Comments
On Multi-View Active Learning and the Combination with Semi-Supervised Learning (2008)   0 Comments
On Partial Optimality in Multi-label MRFs (2008)   0 Comments
On the Chance Accuracies of Large Collections of Classifiers (2008)   0 Comments
On the Hardness of Finding Symmetries in Markov Decision Processes (2008)   0 Comments
On the Quantitative Analysis of Deep Belief Networks (2008)   3 Comments
On-line Discovery of Temporal-Difference Networks (2008)   0 Comments
Online Kernel Selection for Bayesian Reinforcement Learning (2008)   0 Comments
Optimized Cutting Plane Algorithm for Support Vector Machines (2008)   0 Comments
Optimizing Estimated Loss Reduction for Active Sampling in Rank Learning (2008)   0 Comments
Pairwise Constraint Propagation by Semidefinite Programming for Semi-Supervised Classification (2008)   0 Comments
Pointwise exact bootstrap distributions of cost curves (2008)   0 Comments
Polyhedral Classifier for Target Detection A Case Study: Colorectal Cancer (2008)   0 Comments
Preconditioned Temporal Difference Learning (2008)   0 Comments
Predicting Diverse Subsets Using Structural SVMs (2008)   0 Comments
Prediction with expert advice for the Brier game (2008)   1 Comment
Privacy-Preserving Reinforcement Learning (2008)   0 Comments
Query-Level Stability and Generalization in Learning to Rank (2008)   0 Comments
Random classification noise defeats all convex potential boosters (2008)   0 Comments
Rank Minimization via Online Learning (2008)   0 Comments
Reinforcement Learning in the Presence of Rare Events (2008)   0 Comments
Reinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active Learning in POMDPs (2008)   0 Comments
Robust Matching and Recognition using Context-Dependent Kernels (2008)   0 Comments
SVM Optimization: Inverse Dependence on Training Set Size (2008)   3 Comments
Sample-Based Learning and Search with Permanent and Transient Memories (2008)   0 Comments
Self-taught Clustering (2008)   3 Comments
Sequence Kernels for Predicting Protein Essentiality (2008)   0 Comments
Solving graph-structured linear programs: convergence and optimality guarantees (2008)   0 Comments
Space-indexed Dynamic Programming: Learning to Follow Trajectories (2008)   0 Comments
Sparse Bayesian nonparametric regression (2008)   0 Comments
Sparse Multiscale Gaussian Process Regression (2008)   0 Comments
Spectral clustering with inconsistent advice (2008)   0 Comments
Stability of Transductive Regression Algorithms (2008)   0 Comments
Statistical Models for Partial Membership (2008)   0 Comments
Stopping Conditions for Exact Computation of Leave-One-Out Error in Support Vector Machines (2008)   0 Comments
Strategy Evaluation in Extensive Games with Importance Sampling (2008)   0 Comments
Structure Compilation: Trading Structure for Features (2008)   0 Comments
Tailoring Density Estimation via Reproducing Kernel Moment Matching (2008)   0 Comments
The Asymptotics of Semi-Supervised Learning in Discriminative Probabilistic Models (2008)   0 Comments
The Dynamic Hierarchical Dirichlet Process (2008)   0 Comments
The GroupLASSO for Generalized Linear Models: uniqueness of solutions and efficient algorithms (2008)   1 Comment
The Projectron: a Bounded Kernel-Based Perceptron (2008)   0 Comments
The many faces of optimism: a unifying approach (2008)   0 Comments
The skew spectrum of graphs (2008)   0 Comments
Topologically-Constrained Latent Variable Models (2008)   0 Comments
Training Restricted Boltzmann Machines using Approximations to the Likelihood Gradient (2008)   0 Comments
Training SVM with Indefinite Kernels (2008)   0 Comments
Training Structural SVMs when Exact Inference is Intractable (2008)   0 Comments
Transfer of Samples in Batch Reinforcement Learning (2008)   0 Comments
Uncorrelated Multilinear Principal Component Analysis through Successive Variance Maximization (2008)   0 Comments
Unsupervised Rank Aggregation with Distance-Based Models (2008)   0 Comments
mStruct: Inference of Population Structure in Light of Both Genetic Admixing and Allele Mutations (2008)   0 Comments
 
 
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