AAAI 2011 - PDF Preprint Papers

AAAI 2011

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AAAI
2011

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Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models

12 years 11 months ago

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In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...

Steven Phillips, Jane Elith

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Id	Views	Title	Status

1	250	Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models	claim
2	246	An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems	claim
3	233	Adaptive Neighborhood Inverse Consistency as Lookahead for Non-Binary CSPs	claim
4	217	Fast Newton-CG Method for Batch Learning of Conditional Random Fields	claim
5	207	Size Adaptive Selection of Most Informative Features	claim
6	206	A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task	claim
7	206	Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs	claim
8	205	Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!	claim
9	202	Value Function Approximation in Reinforcement Learning Using the Fourier Basis	claim
10	202	Autonomous Skill Acquisition on a Mobile Manipulator	claim
11	201	Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty	claim
12	196	Cross-Language Latent Relational Search: Mapping Knowledge across Languages	claim
13	194	Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions	claim
14	193	A Feasible Nonconvex Relaxation Approach to Feature Selection	claim
15	190	Abductive Markov Logic for Plan Recognition	claim
16	186	Analogical Dialogue Acts: Supporting Learning by Reading Analogies in Instructional Texts	claim
17	185	Incentive-Compatible Escrow Mechanisms	claim
18	182	Heterogeneous Transfer Learning with RBMs	claim
19	181	Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation	claim
20	180	On Expressing Value Externalities in Position Auctions	claim
21	178	Combining Learned Discrete and Continuous Action Models	claim
22	175	Incorporating Boosted Regression Trees into Ecological Latent Variable Models	claim
23	172	Commitment to Correlated Strategies	claim
24	170	Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation	claim
25	168	Dual Decomposition for Marginal Inference	claim
26	167	Modeling and Monitoring Crop Disease in Developing Countries	claim
27	167	Transfer Learning by Structural Analogy	claim
28	164	Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models	claim
29	164	Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models	claim
30	162	Stopping Rules for Randomized Greedy Triangulation Schemes	claim
31	162	Preferred Explanations: Theory and Generation via Planning	claim
32	162	Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection	claim
33	159	Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets	claim
34	158	Reasoning About General Games Described in GDL-II	claim
35	157	The Epistemic Logic Behind the Game Description Language	claim
36	156	CCRank: Parallel Learning to Rank with Cooperative Coevolution	claim
37	151	Learning in Repeated Games with Minimal Information: The Effects of Learning Bias	claim
38	150	End-User Feature Labeling via Locally Weighted Logistic Regression	claim
39	149	Integrating Community Question and Answer Archives	claim
40	149	Decentralised Control of Micro-Storage in the Smart Grid	claim
41	149	Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents	claim
42	148	Composite Social Network for Predicting Mobile Apps Installation	claim
43	146	Effective End-User Interaction with Machine Learning	claim
44	146	Mean Field Inference in Dependency Networks: An Empirical Study	claim
45	145	Sparse Matrix-Variate t Process Blockmodels	claim
46	145	Automated Action Abstraction of Imperfect Information Extensive-Form Games	claim
47	145	Policy Gradient Planning for Environmental Decision Making with Existing Simulators	claim
48	144	Trajectory Regression on Road Networks	claim
49	144	Differential Eligibility Vectors for Advantage Updating and Gradient Methods	claim
50	143	Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks	claim
51	143	Controlling Selection Bias in Causal Inference	claim
52	143	Tree Sequence Kernel for Natural Language	claim
53	142	Global Seismic Monitoring: A Bayesian Approach	claim
54	142	Temporal Dynamics of User Interests in Tagging Systems	claim
55	141	Relational Blocking for Causal Discovery	claim
56	141	Long-Term Declarative Memory for Generally Intelligent Agents	claim
57	139	Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage	claim
58	139	Exploiting Phase Transition in Latent Networks for Clustering	claim
59	138	Using Semantic Cues to Learn Syntax	claim
60	138	Market Manipulation with Outside Incentives	claim
61	137	Heuristic Search for Large Problems With Real Costs	claim
62	136	Linear Dynamic Programs for Resource Management	claim
63	134	Towards Large-Scale Collaborative Planning: Answering High-Level Search Queries Using Human Computation	claim
64	134	Dynamic Resource Allocation in Conservation Planning	claim
65	134	Optimal Envy-Free Cake Cutting	claim
66	132	Quantity Makes Quality: Learning with Partial Views	claim
67	131	Complete Information Pursuit Evasion in Polygonal Environments	claim
68	131	The Steiner Multigraph Problem: Wildlife Corridor Design for Multiple Species	claim
69	129	An Algebraic Prolog for Reasoning about Possible Worlds	claim
70	128	Termination and Correctness Analysis of Cyclic Control	claim
71	128	Qualitative Numeric Planning	claim
72	128	Learning Accuracy and Availability of Humans Who Help Mobile Robots	claim
73	127	A Switching Planner for Combined Task and Observation Planning	claim
74	125	Transportability of Causal and Statistical Relations: A Formal Approach	claim
75	124	A Scalable Tree-Based Approach for Joint Object and Pose Recognition	claim
76	124	Inner Regions and Interval Linearizations for Global Optimization	claim
77	123	Optimal Graph Search with Iterated Graph Cuts	claim
78	122	User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models	claim
79	121	Recognizing Plans with Loops Represented in a Lexicalized Grammar	claim
80	120	Exploiting Problem Symmetries in State-Based Planners	claim
81	105	Role-Based Ad Hoc Teamwork	claim

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