Search Results - "Dietterich, Thomas"

A Unifying Review of Deep and Shallow Anomaly Detection by Ruff, Lukas, Kauffmann, Jacob R., Vandermeulen, Robert A., Montavon, Gregoire, Samek, Wojciech, Kloft, Marius, Dietterich, Thomas G., Muller, Klaus-Robert

“…Deep learning approaches to anomaly detection (AD) have recently improved the state of the art in detection performance on complex data sets, such as large…”
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Robust artificial intelligence and robust human organizations by Dietterich, Thomas G.

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An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization by Dietterich, Thomas G

“…Bagging and boosting are methods that generate a diverse ensemble of classifiers by manipulating the training data given to a "base" learning algorithm…”
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Confidence Calibration for Domain Generalization under Covariate Shift by Gong, Yunye, Lin, Xiao, Yao, Yi, Dietterich, Thomas G., Divakaran, Ajay, Gervasio, Melinda

“…Existing calibration algorithms address the problem of covariate shift via unsupervised domain adaptation. However, these methods suffer from the following…”
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Managing Fragmented Fire-Threatened Landscapes with Spatial Externalities by Lauer, Christopher J, Montgomery, Claire A, Dietterich, Thomas G

“…Abstract Accounting for externalities generated by fire spread is necessary for managing fire risk on landscapes with multiple owners. In this paper, we…”
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Structured machine learning: the next ten years by Dietterich, Thomas G., Domingos, Pedro, Getoor, Lise, Muggleton, Stephen, Tadepalli, Prasad

“…The field of inductive logic programming (ILP) has made steady progress, since the first ILP workshop in 1991, based on a balance of developments in theory,…”
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Spatial interactions and optimal forest management on a fire-threatened landscape by Lauer, Christopher J., Montgomery, Claire A., Dietterich, Thomas G.

“…Forest management in the face of fire risk is a challenging problem because fire spreads across a landscape and because its occurrence is unpredictable…”
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The Role of Restoration and Key Ecological Invasion Mechanisms in Optimal Spatial-Dynamic Management of Invasive Species by Albers, Heidi J., Hall, Kim Meyer, Lee, Katherine D., Taleghan, Majid Alkaee, Dietterich, Thomas G.

“…To increase the ecological realism in an economic analysis of invasive species management in a river network, this paper identifies optimal spatial-dynamic…”
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Optimal Spatial-Dynamic Management of Stochastic Species Invasions by Hall, Kim Meyer, Albers, Heidi J., Alkaee Taleghan, Majid, Dietterich, Thomas G.

“…Recent analyses demonstrate that the spatial–temporal behavior of invasive species requires optimal management decisions over space and time. From a spatial…”
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Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects by Larios, Natalia, Deng, Hongli, Zhang, Wei, Sarpola, Matt, Yuen, Jenny, Paasch, Robert, Moldenke, Andrew, Lytle, David A., Correa, Salvador Ruiz, Mortensen, Eric N., Shapiro, Linda G., Dietterich, Thomas G.

“…This paper describes a computer vision approach to automated rapid-throughput taxonomic identification of stonefly larvae. The long-term objective of this…”
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Penalized likelihood methods improve parameter estimates in occupancy models by Hutchinson, Rebecca A., Valente, Jonathon J., Emerson, Sarah C., Betts, Matthew G., Dietterich, Thomas G., Freckleton, Robert

“…Summary Occupancy models are employed in species distribution modelling to account for imperfect detection during field surveys. While this approach is popular…”
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Crowds Replicate Performance of Scientific Experts Scoring Phylogenetic Matrices of Phenotypes by O’Leary, Maureen A., Alphonse, Kenzley, Arce H., Mariangeles, Cavaliere, Dario, Cirranello, Andrea, Dietterich, Thomas G., Julius, Matthew, Kaufman, Seth, Law, Edith, Passarotti, Maria, Reft, Abigail, Robalino, Javier, Simmons, Nancy B., Smith, Selena Y., Stevenson, Dennis W., Theriot, Ed, Velazco, Paúl M., Walls, Ramona L., Yu, Mengjie, Daly, Marymegan

“…Scientists building the Tree of Life face an overwhelming challenge to categorize phenotypes (e.g., anatomy, physiology) from millions of living and fossil…”
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Solving the multiple instance problem with axis-parallel rectangles by Dietterich, Thomas G., Lathrop, Richard H., Lozano-Pérez, Tomás

“…The multiple instance problem arises in tasks where the training examples are ambiguous: a single example object may have many alternative feature vectors…”
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Segmentation of touching insects based on optical flow and NCuts by Yao, Qing, Liu, Qingjie, Dietterich, Thomas G., Todorovic, Sinisa, Lin, Jeffrey, Diao, Guangqiang, Yang, Baojun, Tang, Jian

“…Counting the number of rice pests captured via light traps each day is very important for monitoring the population dynamics of rice pests in paddy fields…”
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Map Misclassification Can Cause Large Errors in Landscape Pattern Indices: Examples from Habitat Fragmentation by Langford, W.T, Gergel, S.E, Dietterich, T.G, Cohen, W

“…Although habitat fragmentation is one of the greatest threats to biodiversity worldwide, virtually no attention has been paid to the quantification of error in…”
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Learning first-order probabilistic models with combining rules by Natarajan, Sriraam, Tadepalli, Prasad, Dietterich, Thomas G., Fern, Alan

“…Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with…”
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The familiarity hypothesis: Explaining the behavior of deep open set methods by Dietterich, Thomas G., Guyer, Alex

“…•Open set detection using the maximum logit score of a softmax classifier matches the current state of the art.•Familiarity Hypothesis: The Max Logit method…”
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Next-generation phenomics for the Tree of Life by Burleigh, J Gordon, Alphonse, Kenzley, Alverson, Andrew J, Bik, Holly M, Blank, Carrine, Cirranello, Andrea L, Cui, Hong, Daly, Marymegan, Dietterich, Thomas G, Gasparich, Gail, Irvine, Jed, Julius, Matthew, Kaufman, Seth, Law, Edith, Liu, Jing, Moore, Lisa, O'Leary, Maureen A, Passarotti, Maria, Ranade, Sonali, Simmons, Nancy B, Stevenson, Dennis W, Thacker, Robert W, Theriot, Edward C, Todorovic, Sinisa, Velazco, Paúl M, Walls, Ramona L, Wolfe, Joanna M, Yu, Mengjie

“…The phenotype represents a critical interface between the genome and the environment in which organisms live and evolve. Phenotypic characters also are a rich…”
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Dictionary-free categorization of very similar objects via stacked evidence trees by Martinez-Munoz, Gonzalo, Larios, Natalia, Mortensen, Eric, Wei Zhang, Yamamuro, Asako, Paasch, Robert, Payet, Nadia, Lytle, David, Shapiro, Linda, Todorovic, Sinisa, Moldenke, Andrew, Dietterich, Thomas G

“…Current work in object categorization discriminates among objects that typically possess gross differences which are readily apparent. However, many…”
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Sample-Based Tree Search with Fixed and Adaptive State Abstractions by Hostetler, Jesse, Fern, Alan, Dietterich, Thomas

“…Sample-based tree search (SBTS) is an approach to solving Markov decision problems based on constructing a lookahead search tree using random samples from a…”
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