Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment

Causal Document-Grounded Dialogue Pre-training

Local Temperature Beam Search: Avoid Neural Text DeGeneration via Enhanced Calibration

Two-Stage Holistic and Contrastive Explanation of Image Classification

ViT-CX: Causal Explanation of Vision Transformers

Applying latent tree analysis to classify Traditional Chinese Medicine syndromes (Zheng) in patients with psoriasis vulgaris

Latent tree analysis for the identification and differentiation of evidence-based Traditional Chinese Medicine diagnostic patterns: A primer for clinicians

Quantification of prevalence, clinical characteristics, co-existence, and geographic variations of traditional Chinese medicine diagnostic patterns via latent tree analysis-based differentiation rules among functional dyspepsia patients

Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation

Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation

Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory

Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model

Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue

Semi-Supervised Lifelong Language Learning

SeqPATE: Differentially private text generation via knowledge distillation

Add-On Chinese Medicine for Coronavirus Disease 2019 (ACCORD): A Retrospective Cohort Study of Hospital Registries

Evaluating traditional Chinese medicine diagnostic instruments for functional dyspepsia: systematic review on measurement properties

SYmptom-Based STratification of DiabEtes Mellitus by Renal Function Decline (SYSTEM): A Retrospective Cohort Study and Modeling Assessment

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization

Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks

A deep learning–based method for the design of microstructural materials

Learning the Structure of Auto-Encoding Recommenders

Not All Attention Is Needed: Gated Attention Network for Sequence Data

Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation

基于隐结构分析建立中医证候分型规则的三种方法

数据分析方法在证候要素研究中的应用概况

A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models

Cleaned similarity for better memory-based recommenders

Conformative Filtering for Implicit Feedback Data

Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion

Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering

Learning to Abstract for Memory-augmented Conversational Response Generation

Modeling Multidimensional User Preferences for Collaborative Filtering

UC-LTM: Unidimensional Clustering Using Iatent Tree Models for Discrete Data

Building Sparse Deep Feedforward Networks using Tree Receptive Fields

Matrix Factorization Equals Efficient Co-occurrence Representation

Using Taste Groups for Collaborative Filtering

A Data-Driven Method for Syndrome Type Identification and Classification in Traditional Chinese Medicine

Identification and classification of traditional Chinese medicine syndrome types among senior patients with vascular mild cognitive impairment using latent tree analysis

Latent Tree Models for Hierarchical Topic Detection

Spectral methods for learning discrete latent tree models

Latent Tree Analysis

Mining Textual Reviews with Hierarchical Latent Tree Analysis

Sparse Boltzmann Machines With Structure Learning as Applied to Text Analysis

Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis

Identification of Chinese medicine syndromes in persistent insomnia associated with major depressive disorder: A latent tree analysis

Progressive EM for Latent Tree Models and Hierarchical Topic Detection

Greedy learning of latent tree models for multidimensional clustering

Bayesian Adaptive Matrix Factorization with Automatic Model Selection

Unidimensional Clustering of Discrete Data using Latent Tree Models

Discovering Symptom Co-Occurrence Patterns from 604 Cases of Depressive Patient Data Using Latent Tree Models

Latent Structure Analysis and Syndrome Differentiation for Integration of Traditional Chinese Medicine and Western Medicine (III)：Establishment of Classification Rules

Latent tree models for rounding in spectral clustering

Statistical Validation of TCM Syndrome Postulates in the Context of Depressive Patients

A study of recently discovered equalities about latent tree models using inverse edges

Hierarchical latent tree analysis for topic detection

Solving informative partially observable Markov decision processes

A Survey on Latent Tree Models and Applications

LTC: A Latent Tree Approach to Classification

Model-based clustering of high-dimensional data: Variable selection versus facet determination

Statistical Validation of Traditional Chinese Medicine Syndrome Postulates in the Context of Patients with Cardiovascular Disease

Discovery of Regularities in the Use of Herbs in Chinese Medicine Prescriptions

Latent Structure Analysis and Syndrome Differentiation for the Integration of Traditional Chinese and Western Medicine (II): Joint Clustering

基于隐结构模型分析的心血管疾病中医问诊证候分类研究

基于隐结构法的寻常型银屑病常见证候要素的研究

基于隱結構模型分析的心血管疾病中醫問診證候分類研究

隐树模型几个关键指标的辨证意义

隐结构分析与西医疾病的辨证分型（II）：综合聚类

A Model-Based Approach to Rounding in Spectral Clustering

A novel LTM-based method for multi-partition clustering

Discovery of regularities in the use of herbs in traditional Chinese medicine prescriptions

Multidimensional Clustering Using Latent Feature Models for Consumer Segmentation and Forecasting

The Inception of TCM Syndrome Types in Human Cognitation and Dataming Methods for TCM Data

中医证候的认知思路及其数据挖掘方法

基于隐结构法的慢性阻塞性肺疾病稳定期常见证候要素的研究

隐结构分析与西医疾病辨证分型(Ⅰ):基本原理

Discovery of Regularities in the Use of Herbs in Traditional Chinese Medicine Prescriptions

Fast multidimensional clustering of categorical data

Latent tree classifier

The role of operation granularity in search-based learning of latent tree models

Study on Pathogenesis of Type 2 Diabetes by the Latent Structural Model

基于隐结构法的更年期综合征常见证候要素的研究

Statistical truths in traditional Chinese medicine theories

The Role of Operation Granularity in Search-Based Learning of Latent Tree Models

Using Bayesian Networks for Model-Based Multiple Clusterings: An Example of Exploratory Analysis on NBA Data

Variable selection in model-based clustering: To do or to facilitate

辨证理论的隐结构思想

隐结构模型及其在中医证候研究中的应用

隱結構模型對2型糖尿病病機規律的探討

A rigorous carrier-based analytic model for undoped ultra-thin-body silicon-on-insulator (UTB-SOI) MOSFETs

Discovery of latent structures. Experience with the COIL Challenge 2000 data

Latent structure models and syndrome differentiation in traditional Chinese medicine (II): Analysis of Kidney Deficiency Data

Latent structure models and syndrome differentiation in traditional Chinese medicine (III): Model-based syndrome differentiation versus syndrome differentiation by experts

Latent tree models and approximate inference in Bayesian networks

Latent tree models and diagnosis in traditional Chinese medicine

Statistical validation of Traditional Chinese Medicine theories

隐结构模型与中医辨证研究(Ⅱ)肾虚数据分析

Efficient Model Evaluation in the Search-Based Approach to Latent Structure Discovery

Latent Tree Models and Approximate Inference in Bayesian Networks

Discovering latent structures: Experience with the coil challenge 2000 data set

Discovery of Latent Structures: Experience with the CoIL Challenge 2000 Data Set

Hierarchical latent class models and statistical foundation for traditional Chinese medicine

A coupling and crosstalk-considered timing-driven global routing algorithm for high-performance circuit design

A Study of Bloodstasis Symptoms and Physical Signs Based on Latent Structure Models

Integrated location management and location-aided routing system for mobile ad hoc networks

Latent Structure Models and Diagnosis in Traditional Chinese Medicine (I):

隐结构模型与中医辨证研究（I）隐结构法的基本思想及隐结构分析工具

贝叶斯网引论

Quartet-Based Learning of Hierarchical Latent Class Models: Discovery of Shallow Latent Variables.

Quartet-based learning of shallow latent variables

Severity of local maxima for the EM algorithm: experiences with hierarchical latent class models

Effective dimensions of partially observed polytrees

Restricted value iteration: Theory and algorithms

Discriminant analysis with tensor representation

Effective dimensions of hierarchical latent class models

Hierarchical latent class models for cluster analysis

Latent variable discovery in classification models

数理统计思想及方法在辩证规范化研究中的应用及思考

Efficient learning of hierarchical latent class models

Reinforcement learning in episodic non-stationary markovian environments

Exploiting contextual independence in probabilistic inference

Symbolic and Quantitative Approaches to Reasoning with Uncertainty: Proceedings of the 7th European Conference

MAPS - A generalized scheme for quality of service routing under delay-bandwidth constraints

Dimension correction for hierarchical latent class models

Hierarchical latent class models for cluster analysis

Multi-model approach to non-stationary reinforcement learning

Value iteration working with belief subset

Inference in Bayesian networks: The role of context-specific independence

Speeding up the convergence of value iteration in partially observable Markov decision processes

Hidden-mode Markov decision processes for nonstationary sequential decision making

An alternative formulation of dynamic programming updates for POMDPs

Solving hidden-mode Markov decision problems

Space-progressive value iteration: An anytime algorithm for a class of POMDPs

An environment model for nonstationary reinforcement learning

An Environment Model for Nonstationary Reinforcement Learning

A Distributed Search System Based on Markov Decision Processes

A method for speeding up value iteration in partially observable Markov decision processes

Hidden-mode Markov decision processes

On the role of context-specific independence in probabilistic inference

Computational properties of two exact algorithms for Bayesian networks

Context-specific Independence, Decomposition of Conditional Probabilities, and Inference in Bayesian Networks

Independence of causal influence and clique tree propagation

Probabilistic inference in influence diagrams

A model approximation scheme for planning in partially observable stochastic domains

Exploiting causal independence in Bayesian network inference

Irrelevance and parameter learning in Bayesian networks

Inference with causal independence in the CPSC network

A COMPUTATIONAL THEORY OF DECISION NETWORKS

Minimizing decision tables in influence diagrams

Representation, independence, and combination of evidence in the Dempster-Shafer theory

A simple approach to Bayesian network computations

Removable arcs in stepwise-decomposable decision networks

Solving asymmetric decision problems with influence diagrams

Structural and functional quantization of vagueness

Studies on hypergraphs: (I) Hyperforests

Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams

Sidestepping the Triangulation Problem in Bayesian Net Computations

Stepwise-decomposable influence diagrams

Weights of evidence and internal conflict for support functions

UC-LTM: Unidimensional Clustering Using Iatent Tree Models for Discrete Data

Article

Building Sparse Deep Feedforward Networks using Tree Receptive Fields

Conference paper

Matrix Factorization Equals Efficient Co-occurrence Representation

Conference paper

Using Taste Groups for Collaborative Filtering

Conference paper

A Data-Driven Method for Syndrome Type Identification and Classification in Traditional Chinese Medicine

Article

Identification and classification of traditional Chinese medicine syndrome types among senior patients with vascular mild cognitive impairment using latent tree analysis

Article

Latent Tree Models for Hierarchical Topic Detection

Article

Spectral methods for learning discrete latent tree models

Article

Latent Tree Analysis

Conference paper

Mining Textual Reviews with Hierarchical Latent Tree Analysis

Conference paper

Sparse Boltzmann Machines With Structure Learning as Applied to Text Analysis

Conference paper

Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis

Conference paper

Identification of Chinese medicine syndromes in persistent insomnia associated with major depressive disorder: A latent tree analysis

Article

Progressive EM for Latent Tree Models and Hierarchical Topic Detection

Conference paper

Greedy learning of latent tree models for multidimensional clustering

Article

Bayesian Adaptive Matrix Factorization with Automatic Model Selection

Conference paper

Unidimensional Clustering of Discrete Data using Latent Tree Models

Conference paper

Discovering Symptom Co-Occurrence Patterns from 604 Cases of Depressive Patient Data Using Latent Tree Models

Article

Latent Structure Analysis and Syndrome Differentiation for Integration of Traditional Chinese Medicine and Western Medicine (III)：Establishment of Classification Rules

Article

Latent tree models for rounding in spectral clustering

Article

Statistical Validation of TCM Syndrome Postulates in the Context of Depressive Patients

Book chapter

A study of recently discovered equalities about latent tree models using inverse edges

Conference paper

Hierarchical latent tree analysis for topic detection

Conference paper

Solving informative partially observable Markov decision processes

Conference paper

A Survey on Latent Tree Models and Applications

Article

LTC: A Latent Tree Approach to Classification

Article

Model-based clustering of high-dimensional data: Variable selection versus facet determination

Article

Statistical Validation of Traditional Chinese Medicine Syndrome Postulates in the Context of Patients with Cardiovascular Disease

Article

Discovery of Regularities in the Use of Herbs in Chinese Medicine Prescriptions

Article

Latent Structure Analysis and Syndrome Differentiation for the Integration of Traditional Chinese and Western Medicine (II): Joint Clustering

Article

基于隐结构模型分析的心血管疾病中医问诊证候分类研究

Article

基于隐结构法的寻常型银屑病常见证候要素的研究

Article

基于隱結構模型分析的心血管疾病中醫問診證候分類研究

Article

隐树模型几个关键指标的辨证意义

Article

隐结构分析与西医疾病的辨证分型（II）：综合聚类

Article

A Model-Based Approach to Rounding in Spectral Clustering

Conference paper

A novel LTM-based method for multi-partition clustering

Conference paper

Discovery of regularities in the use of herbs in traditional Chinese medicine prescriptions

Conference paper

Multidimensional Clustering Using Latent Feature Models for Consumer Segmentation and Forecasting

Conference paper

The Inception of TCM Syndrome Types in Human Cognitation and Dataming Methods for TCM Data

Article

中医证候的认知思路及其数据挖掘方法

Article

基于隐结构法的慢性阻塞性肺疾病稳定期常见证候要素的研究

Article

隐结构分析与西医疾病辨证分型(Ⅰ):基本原理

Article

Discovery of Regularities in the Use of Herbs in Traditional Chinese Medicine Prescriptions

Conference paper

Fast multidimensional clustering of categorical data

Conference paper

Latent tree classifier

Conference paper

The role of operation granularity in search-based learning of latent tree models

Conference paper

Study on Pathogenesis of Type 2 Diabetes by the Latent Structural Model

Article

基于隐结构法的更年期综合征常见证候要素的研究

Article

Statistical truths in traditional Chinese medicine theories

Conference paper

The Role of Operation Granularity in Search-Based Learning of Latent Tree Models

Conference paper

Using Bayesian Networks for Model-Based Multiple Clusterings: An Example of Exploratory Analysis on NBA Data

Conference paper

Variable selection in model-based clustering: To do or to facilitate

Conference paper

辨证理论的隐结构思想

Article

隐结构模型及其在中医证候研究中的应用

Article

隱結構模型對2型糖尿病病機規律的探討

Article

A rigorous carrier-based analytic model for undoped ultra-thin-body silicon-on-insulator (UTB-SOI) MOSFETs

Article

Discovery of latent structures. Experience with the COIL Challenge 2000 data

Article

Latent structure models and syndrome differentiation in traditional Chinese medicine (II): Analysis of Kidney Deficiency Data

Article

Latent structure models and syndrome differentiation in traditional Chinese medicine (III): Model-based syndrome differentiation versus syndrome differentiation by experts

Article

Latent tree models and approximate inference in Bayesian networks

Article

Latent tree models and diagnosis in traditional Chinese medicine

Article

Statistical validation of Traditional Chinese Medicine theories

Article

隐结构模型与中医辨证研究(Ⅱ)肾虚数据分析

Article

Efficient Model Evaluation in the Search-Based Approach to Latent Structure Discovery

Conference paper

Latent Tree Models and Approximate Inference in Bayesian Networks

Conference paper

Discovering latent structures: Experience with the coil challenge 2000 data set

Conference paper

Discovery of Latent Structures: Experience with the CoIL Challenge 2000 Data Set

Conference paper

Hierarchical latent class models and statistical foundation for traditional Chinese medicine

Conference paper

A coupling and crosstalk-considered timing-driven global routing algorithm for high-performance circuit design

Article

A Study of Bloodstasis Symptoms and Physical Signs Based on Latent Structure Models

Article

Integrated location management and location-aided routing system for mobile ad hoc networks

Article

Latent Structure Models and Diagnosis in Traditional Chinese Medicine (I):

Article

隐结构模型与中医辨证研究（I）隐结构法的基本思想及隐结构分析工具

Article

贝叶斯网引论

Book

Quartet-Based Learning of Hierarchical Latent Class Models: Discovery of Shallow Latent Variables.

Conference paper

Quartet-based learning of shallow latent variables

Conference paper

Severity of local maxima for the EM algorithm: experiences with hierarchical latent class models

Conference paper

Effective dimensions of partially observed polytrees

Article

Restricted value iteration: Theory and algorithms

Article

Discriminant analysis with tensor representation

Conference paper

Effective dimensions of hierarchical latent class models

Article

Hierarchical latent class models for cluster analysis

Article

Latent variable discovery in classification models

Article

数理统计思想及方法在辩证规范化研究中的应用及思考

Article

Efficient learning of hierarchical latent class models

Conference paper

Reinforcement learning in episodic non-stationary markovian environments

Conference paper

Exploiting contextual independence in probabilistic inference

Article

Symbolic and Quantitative Approaches to Reasoning with Uncertainty: Proceedings of the 7th European Conference

Book

MAPS - A generalized scheme for quality of service routing under delay-bandwidth constraints

Conference paper

Dimension correction for hierarchical latent class models

Conference paper

Hierarchical latent class models for cluster analysis

Conference paper

Multi-model approach to non-stationary reinforcement learning

Conference paper

Value iteration working with belief subset

Conference paper

Inference in Bayesian networks: The role of context-specific independence

Article

Speeding up the convergence of value iteration in partially observable Markov decision processes

Article

Hidden-mode Markov decision processes for nonstationary sequential decision making

Book chapter

An alternative formulation of dynamic programming updates for POMDPs

Conference paper

Solving hidden-mode Markov decision problems

Conference paper

Space-progressive value iteration: An anytime algorithm for a class of POMDPs

Conference paper

An environment model for nonstationary reinforcement learning

Conference paper

An Environment Model for Nonstationary Reinforcement Learning

Conference paper

A Distributed Search System Based on Markov Decision Processes

Article

A method for speeding up value iteration in partially observable Markov decision processes

Conference paper

Hidden-mode Markov decision processes

Conference paper

On the role of context-specific independence in probabilistic inference

Conference paper

Computational properties of two exact algorithms for Bayesian networks

Article

Context-specific Independence, Decomposition of Conditional Probabilities, and Inference in Bayesian Networks

Article

Independence of causal influence and clique tree propagation

Article

Probabilistic inference in influence diagrams

Article

A model approximation scheme for planning in partially observable stochastic domains

Article

Exploiting causal independence in Bayesian network inference

Article

Irrelevance and parameter learning in Bayesian networks

Article

Inference with causal independence in the CPSC network

Conference paper

A COMPUTATIONAL THEORY OF DECISION NETWORKS

Article

Minimizing decision tables in influence diagrams

Book chapter

Representation, independence, and combination of evidence in the Dempster-Shafer theory

Book chapter

A simple approach to Bayesian network computations

Conference paper

Removable arcs in stepwise-decomposable decision networks

Conference paper

Solving asymmetric decision problems with influence diagrams

Conference paper

Structural and functional quantization of vagueness

Article

Studies on hypergraphs: (I) Hyperforests

Article

Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams

Conference paper

Sidestepping the Triangulation Problem in Bayesian Net Computations

Conference paper

Stepwise-decomposable influence diagrams

Conference paper

Weights of evidence and internal conflict for support functions

Article