Papers.

Spinning Interoperable Applications for Teaching & Learning using the Simple Query Interface

Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines

Recent Advances in Applied Probability

RDF Formalization

Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006

Program analysis with regularly annotated constraints

Personalization of a Peer-to-Peer Television System

Matching Objects with Patterns

Abstract. Data in object-oriented programming is organized in a hierarchy of classes. The problem of object-oriented pattern matching is how to explore this hierarchy from the outside. This usually involves classifying objects by their run-time type, access-ing their members, or determining some other characteristic of a group of objects. In this paper we compare six different pattern matching techniques: object-oriented decomposition, visitors, type-tests/type-casts, typecase, case classes, and extractors. The techniques are compared on nine criteria related to conciseness, maintainabil-ity and performance. The paper introduces case classes and extractors as two new pattern-matching methods and shows that their combination works well for all of the established criteria. 1

Mapping Between NFSv4 and Posix Draft ACLs

Link-Based Characterization and Detection of Web Spam

Las Ciencias detrás de la Web

Language Specific and Topic Focused Web Crawling

How Do Blog Gardens Grow? Language Community Correlates with Network Diffusion and Adoption of Blogging Systems

Foafing the music: Bridging the semantic gap in music recommendation

最適なタイミングで最適なメッセージを送る ダイアローグ・マーケティング (Feature Articles 顧客「再発見」のマーケティング手法)

Far from the Madding Gerund: And Other Dispatches from Language Log

Efficient Planning of Informative Paths for Multiple Robots

Development of a Mote for Wireless Image Sensor Networks

Contract4J for Design by Contract in Java: Design Pattern-Like Protocols and Aspect Interfaces

Computational approaches to analyzing weblogs : papers from the AAAI Spring Symposium

Compact histograms for hierarchical identifiers

CELEBRATE's Lessons

CaveWriting 2006: A Hypertext Authoring System in Virtual Reality

Categorical information in pharmaceutical terminologies

Bridging the Music Semantic Gap

Balancing Computation and Code Distribution Costs : The Case for Hybrid Execution in Sensor Networks

Analysis of Web Search Engine Query Sessions

AAAI 2006 Spring Symposium Reports

A “Simple Query Interface” Adapter for the Discovery and Exchange of Learning Resources

A Multimodal Approach to Bridge the Music Semantic Gap.

A funny thing happened on the way to a billion...

2005 7 th International Conference on Information Fusion ( FUSION ) An Agent-Based C 4 JSR Testbed

Information retrieval in the Web: beyond current search engines

Mucosa: A Music Content Semantic Annotator.

Foafing The Music: A Music Recommendation System Based On Rss Feeds And User Preferences.

Enhancement of combustion by drift in a coupled reaction-diffusion model

We study analytically and numerically a model describing front propagation of a KPP reaction in a fluid flow. The model consists of coupled one-dimensional reaction-diffusion equations with different drift coefficients. The main rigorous results give lower bounds for the speed of propagation that are linear in the drift coefficient, which agrees very well with the numerical observations. In addition, we find the optimal constant in a functional inequality of independent interest used in the proof.

ANÁLISIS DE CONSULTAS A UN BUSCADOR DE LA WEB CHILENA

A Rapid and Efficient Method for Purifying High Quality Total RNA from Peaches (Prunus persica) for Functional Genomics Analyses

Set Valued Attributes

Data Warehousing, Multi-Dimensional Data Models, and OLAP

Simulation of electron source for next-generation X-ray free-electron laser

Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling

Two-photon laser-induced fluorescence of atomic hydrogen in a diamond-depositing dc arcjet

A physics-based approach to the control of homogeneous charge compression ignition engines with variable valve actuation

Early definitive stabilization versus damage control orthopaedics for femur shaft fractures in the multiply injured patient

Exploring the boundaries: gene and protein identification in biomedical text

Using Workspace Information as a Guide to Non-uniform Sampling in Probabilistic Roadmap Planners

The probabilistic roadmap (PRM) planner is a popular method for robot motion planning problems with many degrees of freedom. However, it has been shown that the method performs less well in situations where the robot has to pass through a narrow passage in the scene. This is mainly due to the uniformity of the sampling used in the planner; it places many samples in large open regions and too few in tight passages. Cell decomposition methods do not have this disadvantage, but are only applicable in low-dimensional configuration spaces. In this paper, a hybrid technique is presented that combines the strengths of both methods. It is based on a robot independent cell decomposition of the free workspace guiding the probabilistic sampling more toward the interesting regions in the configuration space. The regions of interest (narrow passages) are identified in the cell decomposition using a method we call watershed labeling. It is shown that this leads to improved performance on difficult planning problems in two- and three-dimensional workspaces.

Data on the Outside versus Data on the Inside

Distinguishes data inside a service (encapsulated, transactional, current) from data outside it (immutable messages and reference data), and shows why the two obey different rules. DOI given is the 2020 ACM Queue reprint.

Development of a Perceptive Interface Based on Facial Displays Applied to Learning Environments

Database security curriculum in InfoSec program