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Now showing items 131-137 of 137
Adaptive Envelope MDPs for Relational Equivalence-based Planning
(2008-07-29)
We describe a method to use structured representations of the environmentâ s dynamics to constrain and speed up the planning process. Given a problem domain described in a probabilistic logical description language, we ...
A Projected Subgradient Method for Scalable Multi-Task Learning
(2008-07-23)
Recent approaches to multi-task learning have investigated the use of a variety of matrix norm regularization schemes for promoting feature sharing across tasks.In essence, these approaches aim at extending the l1 framework ...
Automatic Creation of SQL Injection and Cross-Site Scripting Attacks
(2008-09-10)
We present a technique for finding security vulnerabilitiesin Web applications. SQL Injection (SQLI) and cross-sitescripting (XSS) attacks are widespread forms of attackin which the attacker crafts the input to the application ...
Stochastic Combinatorial Optimization with Risk
(2008-09-13)
We consider general combinatorial optimization problems that can be formulated as minimizing the weight of a feasible solution wT x over an arbitrary feasible set. For these problems we describe a broad class of corresponding ...
How do programs become more concurrent? A story of program transformations
(2008-09-05)
For several decades, programmers have relied onMooreâ s Law to improve the performance of their softwareapplications. From now on, programmers need to programthe multi-cores if they want to deliver efficient code. Inthe ...
Interactive Simulation of Stylized Human Locomotion
(2008-08-01)
Animating natural human motion in dynamic environments is difficult because of complex geometric and physical interactions. Simulation provides an automatic solution to parts of this problem, but it needs control systems ...
Rank Priors for Continuous Non-Linear Dimensionality Reduction
(2008-09-26)
Non-linear dimensionality reduction methods are powerful techniques to deal with high-dimensional datasets. However, they often are susceptible to local minima and perform poorly when initialized far from the global optimum, ...