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Filtering by: Academic Affiliation Electrical Engineering and Computer Science Committee Member Tadepalli, Prasad Decade 2010-2019 Rights Statement In Copyright

Interpretable Machine Learning: Applications in Biology and Genomics

ThreshKnot: Thresholded ProbKnot for Improved RNA Secondary Structure Prediction

Computational Approaches for RNA Structure Prediction with Dynamic Programming and Dee...

Computing Resource Usage as a Factor of Student Success

Improving the Effectiveness of Answering Keyword Queries Using Effective Subsets

Learning with Limited Labeled Data in Natural Language Processing

A Study of Temporal Convolutional Neural Networks for Music Language Modeling as Appli...

Representationally Robust and Scalable Learning over Relational Databases

Anomaly Detection: Theory, Explanation and User Feedback

Approximation Schemes in Planar Graphs

The Ownership Monad

Event detection with forward-backward recurrent neural networks

Incorporating User Feedback into Machine Learning Systems

Machine learning methods for public policy : simulation, optimization, and visualization

Using Change Representations to Analyze Properties of Variational Software

Simulator-Defined MDP Planning with Applications in Natural Resource Management

Weakly Supervised Learning for Activity Recognition from Time Series Data

Learning with Partial Supervision for Clustering and Classification

Structured learning with latent variables : theory and algorithms

Monte Carlo Tree Search with Fixed and Adaptive Abstractions

Feedback-Based Random Test Generator for TSTL

muupi: An Abstract Syntax Tree based Mutation Testing Tool for Python 2.x Programs

Object Tracking-by-Segmentation in Videos

Variant Annotation

Parsing with Recurrent Neural Networks

An Empirical Evaluation of Policy Rollout for Clue

Improving automated email tagging with implicit feedback

Variational Typing and Its Applications

Evaluation of Parallel Monte Carlo Tree Search Algorithms in Python

Offensive Direction Inference in Real-World Football Video

Incorporating and Learning Behavior Constraints for Sequential Decision Making

Data Collection in Sensor Networks via the Novel Fast Markov Decision Process Framework

Efficient Incremental Panorama Reconstruction from Multiple Videos

The density signature

Multiagent learning for locomotion and coordination in tensegrity robotics

New learning modes for sequential decision making

Learning greedy policies for the easy-first framework

Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

Novelty Detection Under the Multi-Instance Multi-Label Framework

Machine learning for improving the quality of citizen science data

Physical activity recognition of free-living data using change-point detection algorit...

Adiabatic Markov Decision Process : convergence of value iteration algorithm

Using RUBI to partition agents in air traffic problems with hard constraints and rewar...

Active learning of constraints for semi-supervised clustering

Bayesian optimization with empirical constraints

Toward computer vision for understanding American football in video

Adversarial planning by strategy switching in a real-time strategy game

Modeling and dynamics analysis of P2P networks based on evolutionary games

Learning ranking functions for efficient search

Ensemble Monte-Carlo planning : an empirical study