David E. Heckerman

Data visualization using association networks

Advanced spam detection techniques

Advanced spam detection techniques

Dependency network based model (or pattern)

ADAPTING PARASITES TO COMBAT DISEASE

Visualization as input mechanism

UTILIZING ULTRASOUND TO DISRUPT PATHOGENS

Message rendering for identification of content features

Bayesian approach for learning regression decision graph models and regression models for time series analysis

GRAPHICAL MODELS FOR THE ANALYSIS OF GENOME-WIDE ASSOCIATIONS

Systems and methods for improving collaborative filtering

Diary-free calorimeter

Systems and methods for new time series model probabilistic ARMA

Automated web-based targeted advertising with quotas

False discover rate for graphical models

Get prep questions to ask doctor

SYMBIOTIC BIOLOGICAL SYSTEMS AS PLATFORMS FOR SENSING, PRODUCTION, AND INTERVENTION

Message rendering for identification of content features

Cluster-based and rule-based approach for automated web-based targeted advertising with quotas

Vaccine design methodology

Large-scale information collection and mining

Cluster-based visualization of user traffic on an internet site

Efficient determination of sample size to facilitate building a statistical model

IDENTIFYING ASSOCIATIONS USING GRAPHICAL MODELS

T-cell epitope prediction

Identifying associations using graphical models

System and process for automatically providing fast recommendations using local probability distributions

Modifying advertisement scores based on advertisement response probabilities

Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications

Cluster modeling, and learning cluster specific parameters of an adaptive double threading model

Adaptive junk message filtering system

Feedback loop for spam prevention

Shift-invariant predictions

Personal audio-video recorder for live meetings

Adaptive junk message filtering system

Detecting instabilities in time series forecasting

Selective advertisement display for multimedia content

Tools for health and wellness

MONETIZING LARGE-SCALE INFORMATION COLLECTION AND MINING

Feedback loop for spam prevention

Large-scale information collection and mining

Handwriting recognition with mixtures of bayesian networks

Web data outlier detection and mitigation

Systems and methods for tractable variational approximation for interference in decision-graph Bayesian networks

Trees of classifiers for detecting email spam

Automated web-based targeted advertising with quotas

TRANSMISSION OF INFORMATION DURING AD CLICK-THROUGH

Automated web-based targeted advertising with quotas

Staged mixture modeling

Systems and methods that utilize machine learning algorithms to facilitate assembly of aids vaccine cocktails

Systems and methods that utilize machine learning algorithms to facilitate assembly of aids vaccine cocktails

Association-based predictions of pathogen characteristics

Association-based epitome design

Caching techniques for streaming media

System and method for managing a plurality of content items displayed in a particular placement position on a rendered page

Transmission of information during ad click-through

Dependency network based model (or pattern)

Systems and methods for determining relative placement of content items on a rendered page

Systems and methods for allocating placement of content items on a rendered page based upon bid value

Anomaly detection in data perspectives

Systems and methods for determining bid value for content items to be placed on a rendered page

Systems and methods for estimating placement positions of content items on a rendered page

Handwriting recognition with mixtures of Bayesian networks

Decision theoretic approach to targeted solicitation by maximizing expected profit increases

Anomaly detection in data perspectives

Determining near-optimal block size for incremental-type expectation maximization (EM) algorithms

Automatic data perspective generation for a target variable

Determining near-optimal block size for incremental-type expectation maximization (EM) algorithms

Scalable methods for learning Bayesian networks

System and process for automatically explaining probabilistic predictions